Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and readOnlyHint=false, so the mutation profile is covered. The description adds genuinely useful post-state context: archived projects become read-only and are removed from the project overview. It does not mention reversibility (that unarchive_project exists) or permission requirements, but the added behavioral detail is meaningful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are near-duplicates ('Archive a project.' / 'Archive a project using its unique identifier.'), which wastes space. The substantive effect statement is last rather than front-loaded, so structure is adequate but not tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter mutation with full annotation coverage and no output schema, the description covers the essential outcome of the call. The main missing piece is recoverability (that unarchive_project can reverse it) and whether archiving cascades to child entities.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, but the only parameter is a nested path.projectId whose schema description ('The project identifier.') is self-evident. The description's 'using its unique identifier' adds little beyond the schema and gives no format or ID-source hints, so it neither compensates nor misleads.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (archive) and resource (project), and the effect is clear. It does not explicitly name sibling alternatives like unarchive_project or delete_project, so an agent must infer the distinction from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given: nothing explains when archiving is preferable to deleting, or when unarchive_project applies. The description only says what archiving does, not when an agent should choose this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavioral context the annotations cannot express: archived users cannot sign in or be assigned to projects/test runs, and historical data is retained. It stops short of stating whether the action is reversible or what permissions are required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are near-duplicates ('Archive a user. Archive a user using its unique identifier.'), which is wasted space in a short description. The third sentence is the only one that earns its place, so structure is adequate but not front-loaded efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter mutation where annotations carry the destructive/idempotency profile and no output schema exists, the description covers the essential effect and data-retention consequence. It omits permission requirements and reversibility, which keeps it just short of complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter, and the schema already describes it as 'The user identifier.' The description's phrase 'using its unique identifier' restates that without adding format, scope, or lookup detail. With no enrichment beyond the schema, this sits at the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (archive) and resource (user), and names the identifier as the targeting mechanism. However, it offers no differentiation from adjacent lifecycle siblings such as delete_user, put_user, or make_admin_user, so an agent must infer that this is a soft/state-changing operation rather than a removal.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance is given. The description never tells the agent how this differs from delete_user or what precondition (e.g. user must be active, admin privileges) applies before archiving.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the write/destructive/idempotent profile, and the description adds useful context that the clone optionally carries over test cases and user assignments. However, it never explains the destructiveHint=true, permission requirements, or what happens to pre-existing data, so it adds only partial behavioral detail beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the action verb and kept to three short sentences. The second sentence partially restates the first ('Clone' vs 'Create a copy'), a minor redundancy but not enough to hurt usability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with a nested body and no output schema, the description covers the clone concept but omits return behavior, error/precondition handling, and most body parameters. Adequate but with clear gaps given the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description clarifies that the source is identified by its unique identifier (path.testRunId) and that copied test cases and user assignments are optional, which loosely maps to the copy_test_cases and copy_users flags. It does not clarify the remaining body fields (draft, repeat, priority, dates, milestone/environment ids), so it only partially compensates for the sparse coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (clone/create a copy) and resource (test run) and identifies the identifier that drives it. It is clearly distinguishable from get/put/delete siblings, though it does not explicitly name how it differs from post_test_run.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance or named alternative. The agent is left to infer that this is the right choice whenever a copy of an existing run is wanted rather than creating one from scratch via post_test_run.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is largely covered. The description adds one genuinely useful behavioral fact not in annotations — that closing is reversible via reopen — but omits valid source states, required permissions, and any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the action, and the reopening caveat is placed last where it belongs. Slightly repetitive opening ('Close a test run. Close a test run using its unique identifier') costs it a point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With annotations present and no output schema, the description covers the action and its reversibility, but for a destructive state mutation it should say which run states are closable and what happens to in-progress results. The nested single-parameter shape is simple enough that this is only a moderate gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% at the top level, but the description compensates partially by saying the run is identified by 'its unique identifier.' The nested path/testRunId structure and its integer type are left to the schema, so this is adequate but not enriching.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource: 'Close a test run ... marking it as completed.' It clarifies the resulting state, which is more than a restatement of the name. It doesn't explicitly name the sibling open_test_run, though the reopening note gestures at it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the note that closed runs can be reopened 'if further testing is needed,' which hints at when to close versus reopen. There is no explicit when-to-use statement, no prerequisites (e.g., which run states can be closed), and open_test_run is never named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the safety profile is covered. The description adds genuinely new behavioral context beyond annotations: deletions are soft and moved to the trash, meaning the record can be restored later. That is meaningful disclosure for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are redundant ('Delete an application. Delete an application using its unique identifier.'). The recoverability detail at the end earns its place, but the opening restates the name rather than front-loading the unique soft-delete behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter destructive tool with rich annotations and no output schema, the description is largely complete: it conveys the action, the identifier requirement, and the soft-delete/restore behavior. It leaves minor gaps around permissions and idempotency, but the annotations carry those.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one nested parameter (path.applicationId) with a low schema description coverage. The description compensates partially by stating the identifier is unique to the application, but it does not clarify the nesting/path structure or the identifier format beyond what the schema implies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Delete an application') and adds that a unique identifier is required, which is clear. It implies the soft-delete nature that distinguishes it from a hard delete, but never explicitly names the sibling restore_application, so sibling differentiation is only partial.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus restore_application, post_batch_delete_applications, or put_application. The note that deletions can be restored hints at reversibility but is not framed as usage guidance or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and openWorldHint=true, so the base safety profile is known. The description adds genuinely useful behavior beyond annotations: deletion is soft (moved to trash, restorable) and cascades to all test cases and subfolders, which is the key risk an agent needs. Idempotency is not clarified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the action, then the scope, then the two behavioral facts. Slightly repetitive ('Delete a folder' immediately followed by the more specific restatement), but no substantive waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, cascading delete with no output schema and no real parameter documentation, the description covers the most important behavioral facts but omits permissions required, whether the cascade is recoverable as a unit, and the exact identifier path. Adequate but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the nested object's property is barely described ('The test case folder identifier'). The description says 'using its unique identifier', which adds little beyond the property name testCaseFolderId. It does not explain the nested path.testCaseFolderId structure, so it only partially compensates for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Delete a folder') and then scopes it precisely to 'a test case folder using its unique identifier', which distinguishes it from the many sibling delete_* tools for issues, risks, teams, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance, and no mention of the sibling restore_folder as the recovery path even though restoration is described. Usage is implied by the verb but not routed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the safety profile is covered. The description adds a genuinely useful detail beyond annotations: deletion is soft and recoverable via trash, which tempers the destructive hint. It stops short of describing child-item effects, permissions, or permanence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Sentence one and sentence two restate the same action ('Delete an issue. Delete an issue using its unique identifier.'), which is wasted space. The third sentence earns its place by disclosing the trash/restore behavior, and the action is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter delete with no output schema, the description covers the essential outcome (soft delete with restore possibility) and the annotations cover the safety profile. Missing only edge-case context such as effects on linked items or required permissions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

One required parameter; the schema already carries a description ('The issue identifier.') even though the reported coverage is 0%. The description's 'using its unique identifier' is consistent but adds no syntax or format detail, and the nested path wrapper is not explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Delete an issue') with the identifier-based invocation. It does not explicitly name siblings like restore_issue or post_batch_delete_issues, so the agent must infer the soft-delete relationship from the phrase 'moved to the trash'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative tooling is stated. The presence of post_batch_delete_issues for bulk deletion and restore_issue for recovery is never mentioned, leaving the agent without routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=false and readOnlyHint=false, so the safety profile is covered structurally. The description adds nothing beyond that: it does not state whether deletion is permanent, whether any restore path exists (unlike delete_issue, which has restore_issue), or what permissions are required. 'using its unique identifier' is schema restatement, not behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences where the second is a near-verbatim repeat of the first; the redundancy wastes space rather than adding value. The core intent is front-loaded, but the duplicated sentence should have carried new information (constraints, permanence, ordering) instead.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, non-idempotent mutation with a nested two-field identifier and no output schema, the description omits the information an agent most needs: permanence of deletion, required privileges, and the error/return behavior when the attachment or issue does not exist. Neither the schema nor any structured field covers these, so the description leaves a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% at the parameter level, and the only parameter is a nested object with two required fields. The description says 'its unique identifier' singular, which does not clarify that both an issueId and an attachmentId must be supplied nor how they relate. It fails to compensate for the documentation gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource (delete an attachment from an issue), so the operation is identifiable. However, the second sentence merely restates the first with no added information, and there is no differentiation from near-identical siblings such as delete_test_case_attachment or delete_test_result_attachment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, what prerequisites exist, or how it relates to the attachment siblings (get_issue_attachments, post_issue_attachment, and the parallel test-case/test-result attachment deleters). Usage is left entirely to inference from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the agent knows this is a destructive, non-idempotent operation. The description adds nothing beyond this, such as whether the deletion is permanent, whether it cascades to related test results, or what permissions are required. With annotations covering the basic safety profile, the description should still provide additional behavioral context, which it fails to do.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of two sentences that convey the same information, with the second being a redundant restatement of the first. This is not concise; it wastes space on repetition rather than providing useful details. The structure is not front-loaded with any additional context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (nested object parameters, no output schema, destructive operation), the description is inadequate. It omits critical details such as the required parameters (issueId and taskId), the scope of deletion, and any behavioral caveats. With no output schema and 0% schema description coverage, the description should carry more burden but does not.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the schema itself provides no descriptions for the nested 'path' object or its 'issueId' and 'taskId' properties. The description only says 'using its unique identifier,' which is vague and does not compensate for the missing parameter documentation. The agent cannot determine from the description alone that two parameters (issueId and taskId) are required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource ('Delete a task'), but the second sentence merely restates the first. It does not differentiate from siblings like delete_issue (which deletes an issue, not a task) or delete_issue_test_result, leaving the agent to infer the distinction from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not mention that this deletes a task within an issue, nor does it clarify its relationship to other deletion tools such as delete_issue or delete_issue_attachment. There is no when-to-use or when-not-to-use information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true. The word 'unlink' adds some value by implying the test result entity itself survives and only the association is removed, which tempers the destructive hint. However, nothing is said about reversibility, auth requirements, or behavior on a non-existent link.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The second sentence restates the first with no added information ('using its unique identifier' adds nothing meaningful). Half the text is redundant padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, non-idempotent mutation with an undocumented nested parameter object and no output schema, the description is too thin. It leaves unanswered what a failed unlink looks like, whether the operation is reversible, and which id maps to which argument.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0% for the top-level 'path' object; the description only says 'using its unique identifier' (singular), which does not clarify that two nested identifiers, issueId and testResultId, are required. The description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Unlink a test result from an issue.' This distinguishes it from siblings such as delete_test_result or get_issue_test_results, since it removes an association rather than an entity. No explicit sibling naming, but the operation is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, no alternatives named. An agent gets no signal about when unlinking is appropriate versus using post_issue_test_results or get_issue_test_results, nor what happens if the link does not exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false. The description adds useful behavioral context beyond the annotations by disclosing that deleted milestones are moved to the trash and can be restored later, clarifying the soft-delete behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loads the operation, but the first two sentences are redundant: 'Delete a milestone. Delete a milestone using its unique identifier.' The third sentence adds new value, so structure is adequate but not maximally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter delete tool with annotations covering safety and no output schema, the description is mostly complete. It explains soft deletion and recovery, though it could clarify the identifier's format or expected scope.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description should compensate. It says deletion uses the milestone's 'unique identifier,' which maps to the milestoneId parameter, but adds no format, type, or path details beyond what the schema property already names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Delete a milestone.' It clearly identifies the operation, but it does not distinguish this tool from sibling alternatives like post_batch_delete_milestones or restore_milestone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no explicit guidance on when to use this tool versus alternatives such as restoring or batch-deleting milestones. It implies deletion is recoverable, but provides no conditions or exclusions for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark this destructive and non-idempotent, but the description adds the key behavioral fact they do not carry: the delete is soft, moving the item to trash with later restoration possible. It does not mention permissions or cascade effects, keeping it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences where two would do — the first two are near-duplicates ('Delete a requirement. Delete a requirement using its unique identifier.'), which wastes the front-loaded position that should carry the soft-delete information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter mutation with no output schema, the description covers the essential reversibility fact but leaves gaps on identifier format, permissions, and how this relates to the batch-delete and restore siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the argument is a nested object (path.requirementId), which the description does not explain. Saying deletion is 'using its unique identifier' adds only marginal value over the parameter's own 'The requirement identifier.' text and does not clarify the path wrapper or accepted id form.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (delete) and resource (requirement) with the identifier-based scope. It implies differentiation from restore_requirement by noting items go to trash and can be restored, but never names the sibling, so an agent must infer the routing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: soft-delete semantics ('moved to the trash') suggest this is the single-item, reversible deletion path, but the description never says when to prefer this over post_batch_delete_requirements or restore_requirement.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: deleted risks are moved to the trash and can be restored later, indicating a non-permanent soft delete. It does not mention permissions or edge cases, but the key reversibility trait is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action and appropriately sized. However, the first two sentences are redundant—'Delete a risk. Delete a risk using its unique identifier.'—which slightly weakens conciseness, though the third sentence earns its place by describing the trash/restore behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-risk deletion tool with rich annotations and no output schema, the description is nearly complete: it covers the action, identifier use, and post-deletion behavior. The main gap is parameter-level detail about the nested path object, but the schema itself supplies this, and annotations already handle the destructive/read-only profile.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has low description coverage (0%) and uses a nested path object, so the description must compensate. It only says 'using its unique identifier' without naming riskId, explaining the nested path structure, or clarifying the integer type. This adds little beyond what the schema already conveys, and the unusual nesting is left unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: deleting a risk by its unique identifier. It also clarifies the scope as a single risk, which distinguishes it from batch deletion tools like post_batch_delete_risks. The purpose is immediately clear without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through 'using its unique identifier' and notes that deleted risks can be restored later, which hints at soft deletion. However, it does not explicitly state when to use this tool versus alternatives such as post_batch_delete_risks or restore_risk, leaving that inference to the agent's understanding of sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false, but the description adds genuinely useful behavioral context beyond them: this is a soft delete that moves the team to trash and can be restored. That 'reversible delete' detail is exactly what an agent needs and is not captured by the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and short, but the first two sentences restate each other ('Delete a team.' / 'Delete a team using its unique identifier.'), wasting a sentence on redundancy rather than adding information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive delete with no output schema, the reveal that deletion is soft and reversible is important and present. However, the unaddressed `with` parameter and the absence of any side-effect or permission detail leave the definition only minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0% despite 2 parameters. The description hints at 'its unique identifier' (mapping loosely to teamId) but says nothing about the `with` relation-inclusion parameter, so it does not compensate for the schema's gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Delete a team') and clarifies it operates on a unique identifier. It does not differentiate from close siblings like post_batch_delete_teams or delete_team_member, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus restore_team, post_batch_delete_teams (batch alternative), or delete_team_member. The description only notes that deletion is reversible, without routing the agent to related tools or stating prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, idempotentHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing beyond 'remove' — no note on whether removal is reversible, whether re-adding is possible, what permissions are needed, or what happens to the member's assignments.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences where one would do; the second is a near-verbatim restatement of the first. The purpose is front-loaded, but roughly half the text is redundant padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, non-idempotent mutation with no output schema, the description should at minimum say what operation it performs against team membership and whether the action can be undone. It supplies no behavioral or eligibility context, leaving the agent to infer everything from the name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the schema is a single nested object, but both teamId and userId carry inline descriptions with the same wording as the description. The phrase 'using the team and user identifiers' confirms the two required keys but adds no format, type, or lookup guidance beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Remove a member from a team.' An agent can distinguish it from get_team_members and post_team_members, and from delete_team. However, the second sentence merely restates the first with the identifier names and adds no distinguishing scope, so it falls short of 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of alternatives such as delete_team (removes the whole team) or post_team_members (the inverse operation). Usage is only implied by the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false and idempotentHint=false, so the safety profile is covered. The description adds genuinely new behavior beyond them: deletion is a soft delete (moved to trash) and is reversible. It does not mention permission requirements or side effects on linked test runs/results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences say the same thing twice ('Delete a test case. Delete a test case using its unique identifier.'), wasting a sentence. The third sentence carries the only new information, so the structure is front-loaded but partially redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter destructive tool with no output schema, the description covers what an agent most needs: the identifier to supply and the recoverable nature of the deletion. Missing only scope-of-impact details (permissions, effect on linked runs) and sibling routing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter, and the schema already carries a description for testCaseId ('The test case identifier'). The description's 'using its unique identifier' restates that rather than adding format, type, or lookup guidance, so it neither compensates for the low coverage metric nor adds meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (delete) and resource (test case), and specifies the deletion key ('using its unique identifier'). It does not differentiate itself from the adjacent bulk/restore siblings such as post_batch_delete_test_cases or restore_test_case, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use guidance or routing to alternatives. The mention that cases 'can be restored later' implicitly points at restore_test_case, but the tool is never named and no condition is given for choosing single vs. batch delete.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false, so the mutation semantics are known. The description adds useful specifics beyond that: it clarifies that this permanently removes the file and that both IDs are needed, though it says nothing about auth needs, cascading effects, or recoverability.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences that restate the same action twice ('Delete an attachment from a test case' then 'Delete a specific attachment from a test case...'), which is mildly redundant. It is front-loaded and short overall, but one sentence could have been cut.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive tool with annotations covering the safety profile and no output schema, the description covers the essentials: what is deleted, the identifiers required, and that removal is permanent. Only authorization and cascade behavior are left unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0%, so the description must carry parameter meaning; it does state that both the test case identifier and attachment identifier are required, which corresponds to the two nested fields. However, it adds no format, type, or constraint detail beyond what the nested schema properties already say.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Delete) and resource (attachment from a test case) with the scope clarified as a single attachment identified by both test case and attachment IDs. This clearly distinguishes it from sibling delete_*_attachment tools, though it never names the alternatives explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description only says what it does, not when to use it versus the many sibling attachment tools (delete_issue_attachment, delete_test_result_attachment). No prerequisites, no conditions, no exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, idempotentHint=false, and openWorldHint=true. The description adds that the action is permanent and cannot be undone, which is useful context beyond annotations. However, it doesn't disclose whether the delete is soft or hard, what happens to associated data, or any required permissions. With annotations covering the behavioral profile, this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences: 'Delete an environment. Delete a test environment using its unique identifier. This action is permanent and cannot be undone.' The first sentence is redundant with the second, and the core action is repeated. It is not optimally concise; the first sentence could be removed without loss.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive mutation tool with no output schema and 0% schema description coverage, the description should do more. It doesn't explain the parameter's expected format beyond 'unique identifier', doesn't mention any side effects on related resources, and doesn't clarify error conditions. While it states permanence, other critical details are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single nested parameter testEnvironmentId. The description mentions 'using its unique identifier' but does not specify the parameter name, type, or format. It fails to compensate for the lack of schema descriptions. Baseline for 0 params is 4, but here there is 1 param with no documentation; the description adds minimal value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Delete a test environment using its unique identifier.' This is clear and distinct from siblings like put_test_environment or get_test_environment. However, it doesn't explicitly differentiate from other delete tools, though the resource name makes it obvious.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage by stating the action is permanent and cannot be undone, which signals caution. However, there is no explicit guidance on when to use this tool vs alternatives like put_test_environment or when deletion is appropriate. No alternatives or prerequisites mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, idempotentHint=false. The description adds nothing beyond the name: no mention of whether the file is permanently removed, whether it can be restored, auth requirements, or effects on the test result. With strong annotations covering the safety profile, the description should still add operational context, which it fails to do.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two near-identical sentences that repeat the same information verbatim. This is redundant, not concise, and wastes tokens without adding new meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a destructive mutation with nested parameters, no output schema, and zero schema description coverage, the description is inadequate: no return info, no error conditions, no nested parameter explanation. It doesn't provide enough for an agent to call the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% – neither the outer 'path' object nor its nested properties are described in the schema. The description says 'using its unique identifier' but does not explain the nested structure (testResultId + attachmentId) or how they combine. The description is insufficient to compensate for the zero-coverage schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Delete an attachment from a test result') and specifies the identifier mechanism. Distinguishable from siblings like delete_issue_attachment or delete_test_case_attachment by naming the test result context, though it doesn't explicitly call out that distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, no mention of alternatives like delete_test_case_attachment or delete_issue_attachment. The agent must infer this is for attaachments on test results specifically.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructive=true, readOnly=false and non-idempotent, but the description adds a genuinely useful trait beyond them: the delete is a soft delete that moves the run to the trash and is restorable. It does not cover permissions or side effects on related test results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The second sentence ('Delete a test run using its unique identifier.') largely repeats the first verb+resource statement, wasting space. The third sentence (trash/restore) carries the real value and should have been front-loaded with the rest.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter destructive delete with annotations covering the safety profile, the description supplies the key missing behavior (soft delete + restore path). It would be complete with a pointer to restore_test_run for recovery, but nothing essential blocks correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter is nested (path.testRunId), so the schema does not explain the wrapper. The description only says 'using its unique identifier', which confirms the id is required but adds no format or source details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Delete a test run') and clarifies the identifier-based target. It does not name the closely related sibling restore_test_run or post_batch_delete_test_runs, so an agent must infer the boundary from the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance and no named alternative, even though restore_test_run and post_batch_delete_test_runs exist as obvious siblings. The soft-delete note implies recoverability but is not framed as usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false, so the safety profile is covered; the description adds the crucial consequence 'This action cannot be undone' and the data-retention tradeoff. It does not disclose side effects on related entities, required permissions, or whether the user must be inactive first.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the action and the irreversibility warning before the alternative. Minor redundancy between 'Delete a user' and 'Permanently delete a user using its unique identifier' keeps it from a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive one-parameter tool with no output schema, the description covers the essential facts: permanence, identifier-based targeting, and the archive alternative. Remaining gaps (cascading effects, permission requirements) are secondary but real for a delete operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter (a nested path.userId) and schema description coverage is reported as 0%, so the description carries the burden; 'using its unique identifier' loosely maps to userId but adds no format or type detail. That is the minimum viable compensation for a single-parameter schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Delete a user') and immediately qualifies the scope with 'Permanently' and 'using its unique identifier'. It also carves out territory against the archive_user sibling by noting that archiving is a different, non-destructive option.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use (permanent deletion) and when-not (if you want to retain data and history, archive instead), which is real routing guidance. It stops short of naming the sibling tool (archive_user) directly, so the agent must map 'archiving' to the actual tool itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=false, so the safety profile is covered. The description adds a genuinely useful nuance beyond that: the deletion is 'permanent and cannot be undone', which matters because many sibling resources have restore_* tools but no webhook restore exists. It still omits auth requirements and any cascade effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are near-verbatim restatements of each other ('Delete a webhook. Delete a webhook using its unique identifier.'), wasting a third of the text. The permanent-deletion warning is the only sentence that earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter delete with annotations covering safety and no output schema, the definition is minimally adequate: purpose plus irreversibility are stated. It leaves gaps around permissions/scope and whether anything referencing the webhook is affected.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter is a nested object (path.webhookId), so the description carries some burden. Saying deletion happens 'using its unique identifier' correctly signals that the parameter is the webhook's ID, which maps to webhookId, but it adds no format or type detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb and resource ('Delete a webhook'), which is enough to distinguish it from sibling mutators like delete_application or delete_issue. However, the second sentence only restates the same act, and nothing differentiates it from the sibling webhook tools (get_webhook, put_webhook, post_webhook).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no exclusions, and no mention of the alternative webhook tools (get_webhook, put_webhook, get_webhook_collection) that an agent should consider first. The only hint is the word 'unique identifier', not routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered without the description. The description adds only the relations-inclusion behavior, and even that is a thin restatement of the schema's 'with' parameter.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences where the first two say effectively the same thing ('Get a specific application' / 'Retrieve a specific application using its unique identifier'), so there is redundancy. The relations hint is the only sentence that earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-resource read with annotations covering the safety profile and no output schema, the description is adequate but incomplete: it never clarifies the nested path object or reconciles 'relations' with the 'with' parameter, leaving an agent to infer both from the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description must carry the burden, yet it only gestures at a 'relations parameter' while the actual parameter is named 'with' — a naming mismatch that could confuse the agent. It does not explain the nested path/applicationId structure at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get a specific application') and clarifies it operates on a unique identifier, which distinguishes it from get_application_collection and get_application_versions. However, it does not explicitly contrast itself with those siblings, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives one piece of actionable guidance: use the relations parameter to fetch associated data in a single request. But it offers no when-not conditions and does not mention the sibling tools (get_application_collection, put_application) an agent might otherwise reach for.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorldHint, so the safety profile is fully covered. The description adds no behavioral context beyond that — no pagination defaults, no maximum page size behavior, no indication of what an empty result means.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are duplicate statements of the same fact, and the third and fourth sentences restate what the schema already documents. Structure is not front-loaded with anything an agent cannot infer, and half the text is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nested parameters, a search field, and a large family of sibling tools, the description omits default page size, ordering behavior when unspecified, and the relationship to get_application. It is not sufficient for an agent to call this confidently without opening the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Top-level schema description coverage is 0% (the single `query` object is undocumented at that level), but the nested properties carry rich descriptions and enums for page, limit, order, with, and query. The description only echoes sorting/pagination/relations at a high level without adding syntax or constraints, so it neither compensates nor detracts much.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Get all applications" states a verb and resource, but the second sentence ("Retrieve all applications") is a pure restatement that adds nothing. It never distinguishes itself from the sibling get_application (single resource), leaving the collection-vs-single distinction implicit in the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this collection endpoint versus get_application, get_my_project_collection, or any filtered alternative. The remaining sentences describe what parameters do, not when to reach for this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered without the description. The description adds nothing beyond that—no pagination behavior, no result ordering, no note on whether all versions are returned unpaged, which matters for a 'get all' tool on an open-world resource.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences convey one idea; the second is a rephrase of the first with no new information ('using its unique identifier' is the only marginal addition). The definition wastes half its length on redundancy rather than front-loading useful detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, nested object parameters at 0% description coverage, and an open-world read that may page or truncate, the description should explain return shape or listing behavior. It omits all of this, leaving an agent unable to predict what it will receive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single nested parameter (applicationId inside path). The description says only 'using its unique identifier,' which hints at the identifier but gives no type, format, or sourcing guidance for the nested path object. This barely compensates for the complete absence of schema-level documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Get') and resource ('all versions for an application'), so an agent can tell this is a read of an application's version list. However, it does not differentiate from the sibling get_versions_collection, and the second sentence merely restates the first with different words rather than adding scope or distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as get_versions_collection or get_application. No prerequisites, no context cues, and no exclusions are provided; the agent must infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context beyond that — it does not mention pagination behavior (page/limit exist in the schema) or result size limits, leaving the extra-burden partially unmet.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences where the first two are near-duplicates ('Get all custom fields' / 'Retrieve all custom fields for a project'), wasting space before the genuinely useful model-filter sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only paginated collection endpoint the description covers the main filter but omits pagination, default ordering, and scope caveats. It is minimally viable rather than complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the schema is not doing the explanatory work. The description does explain the model parameter's meaning and lists the resource types, but says nothing about project_id, page, or limit, so it only partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource: retrieve all custom fields for a project, and notes the model dimension. It is clear what the tool returns, though it does not explicitly contrast itself with any sibling (no other custom-field tool exists in the sibling list, so differentiation is less critical).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent to use the model parameter to filter by resource type, which implies the filtering use case, but it never states when to reach for this tool versus other collection endpoints, nor any prerequisites such as required project access.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered without the description's help. The description adds some value by enumerating returned fields (name, description, parent folder), but says nothing about authorization needs or behavior when the folder is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences where two would suffice: 'Get a specific folder' largely restates the tool name and is immediately re-explained by the second sentence. The return-value sentence is the only one carrying new information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully enumerates the returned fields (name, description, parent folder), which is the main missing piece an agent would need. Annotations cover safety, so the remaining gap is only the not-found/error behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0% at the outer level, though the nested testCaseFolderId property carries a description. The description's 'using its unique identifier' reinforces that the argument is a primary key, but adds no format, type, or sourcing detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get a specific folder', 'test case folder') and clarifies scope as a single-folder retrieval by unique identifier. It does not name or contrast with the obvious sibling get_folders_collection, so it stops short of full sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'using its unique identifier' implies this is the single-item counterpart to a collection listing, which is implicit usage guidance. However, it never explicitly says when to use this versus get_folders_collection, nor mentions prerequisites or failure cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered structurally. The description adds only the hierarchy-navigation behavior of parent_id; it says nothing about pagination behavior, default page size, or the shape of results, which is modest added value over the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the tool's core action and followed by the useful parent_id navigation note. The opening two clauses ('Get all folders. Retrieve all test case folders from a project.') are mildly redundant but not wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a collection query with a nested 7-field query object (including a rich filter object and a with-relations enum array) and no output schema, the description is far too thin. It does not cover pagination, the relations parameter, or the available filters that an agent would need to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description must carry parameter meaning, yet it only explains parent_id and gestures vaguely at project scoping ('from a project'). The required project_id, plus page, limit, with, and the entire filter object, are left unaddressed by the prose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Get all folders. Retrieve all test case folders from a project.' This clearly separates it from the singular get_folder sibling. However, it does not differentiate itself from the many other get_*_collection tools in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use the parent identifier to filter folders by their parent folder, allowing you to navigate the folder hierarchy level by level' gives one concrete usage pattern for hierarchical navigation. But no alternatives are named (e.g., get_folder for a single folder, get_test_suites_collection) and there are no explicit when-not-to-use conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read. The description adds that associated data can be pulled in a single request via relations, which is a useful behavioral trait (reduced round trips), but it says nothing about not-found errors or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the core action. The main flaw is redundancy: sentence one and sentence two both say the same retrieve-one-issue statement, so one sentence is essentially wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool whose annotations cover the safety profile, the description is adequate but thin: it does not address what happens when the issue does not exist, nor what the returned representation contains. No output schema exists, so that gap is not excused by structured data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, and the description only partially compensates: it explains the intent of the relations parameter (fetch associated data in one request) but never describes the required 'path.issueId' nesting, nor does it mention the parameter's actual name ('with'), calling it 'relations' instead. Marginal added value over the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get/Retrieve a specific issue') and specifies the lookup key (unique identifier), which distinguishes it from the collection tool get_issue_collection. However, the first two sentences are near-duplicates and it never names a sibling to contrast with, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no comparison to alternatives such as get_issue_collection or get_issue_tasks. The only actionable hint is the note about the relations parameter, which is parameter guidance rather than usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructionHint=false, and openWorldHint=true, so the agent knows this is a safe, repeatable read. The description adds no behavioral detail beyond the annotations – no pagination, auth, result-size, or empty-state notes. With annotations carrying the safety profile, a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that are essentially duplicates – the second sentence ('Retrieve all attachments for an issue using its unique identifier') paraphrases the first without adding information. Front-loading is fine but the repetition wastes space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with no output schema, the definition is minimally adequate. It lacks any note on return shape, nested path structure, or behavior on empty results, though annotations cover the safety profile.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the single parameter is a nested object (path.issueId) with only 'The issue identifier.' documented in the schema. The description does not compensate by explaining the required wrapping 'path' object or the integer format for issueId, leaving the nesting under-explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (get/retrieve) and resource (attachments for an issue), clear enough to distinguish from siblings like get_test_case_attachments or get_test_result_attachments. The second sentence merely restates the first, adding no further precision.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no mention of alternatives, and no exclusions. The agent must infer usage purely from the name and the issueId parameter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds the useful domain context that categories are project-level classifications, but says nothing about pagination behavior, result limits, or permissions, which matters for a collection endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and short, but the first two sentences are near-redundant ('Get project issue categories' / 'Retrieve all issue categories configured for a project'), so one sentence does not earn its place. The third sentence is the only one adding real information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only collection tool with annotations covering safety and no output schema, the description is adequate but incomplete: nothing is said about pagination, total counts, or whether categories come in a fixed/reorderable set. An agent can call it, but with avoidable guesswork.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description never mentions any parameter, even though the schema contains a nested path.projectId plus query.page and query.limit. With the reported schema description coverage at 0%, the description is expected to compensate for the undocumented paging semantics (defaults, max 100 per page) and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('get/retrieve') and resource ('issue categories configured for a project') and even clarifies the domain concept ('classify issues by their type, such as bug, feature, or test design'). It does not, however, differentiate itself from the many sibling taxonomy-collection tools (get_issue_priorities_collection, get_issue_statuses_collection, get_issue_tags_collection, get_requirement_types_collection).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the phrase 'configured for a project' tells the agent this is a project-scoped read of a lookup collection, which is enough to pick it instead of, say, get_issue_collection. But there is no explicit when-to-use, when-not-to-use, or named alternative among the near-identical taxonomy tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that this is a paginated, filterable collection that can embed relations, but says nothing about default page size, empty-result behavior, or any permission requirements. With annotations carrying the safety burden, this is adequate but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are redundant ('Get all issues. Retrieve all issues from a project.'), spending a sentence on a restatement before any differentiating detail. The remaining two sentences are useful, so the opening waste is the main structural flaw.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The nested schema is rich and the annotations cover the safety profile, so the description need not carry everything. But for a heavily-used list endpoint on a large API it omits sibling disambiguation, pagination defaults, and the correct parameter name for relation embedding, leaving meaningful gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Top-level coverage is reported as 0% (the single required `query` wrapper is undocumented), though the nested properties carry good inline descriptions. The description hints at the filter/sort/pagination knobs and mentions the 'relations parameter', but the schema actually names it `with` — a naming mismatch that could cost an agent a round trip.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Retrieve all issues from a project') and mentions filtering, sorting and pagination. However, it never distinguishes itself from the sibling get_my_issue_collection, which is a near-identical collection tool scoped to the current user, so an agent must infer the difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies context by describing filters/sorting/pagination and telling the agent to use the relations parameter for related data. It gives no explicit when-to-use guidance, no exclusions, and does not route to alternatives such as get_my_issue_collection or get_issue for a single item.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond that: no pagination behavior, no ordering, no volume expectations, and no indication of what is returned for an issue with no comments.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the second sentence duplicates the first almost exactly, so half the content is waste. Front-loading is fine, efficiency is not.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with annotations covering safety and no output schema, the main missing pieces are pagination/result-size expectations and clarification of the nested path parameter. Neither is addressed, leaving the agent to infer the invocation shape from the schema alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter is a nested 'path' object wrapping issueId, which is an unusual shape an agent could easily get wrong. The phrase 'using its unique identifier' loosely points at issueId but never explains the path wrapper or the identifier's format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence names a specific verb and resource ('Get all comments for an issue'), which is enough to separate it from write siblings like post_issue_comment and from the analogous get_test_case_comments / get_test_result_comments. The second sentence is a near-verbatim restatement that adds no distinguishing detail.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of the sibling alternatives (post_issue_comment, get_test_case_comments), and no prerequisites such as needing a valid issue ID. The only signal is the name itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so safety and idempotency are covered. The description adds the useful fact that these are configured priorities indicating issue urgency, but it says nothing about whether pagination is supported for exhaustive retrieval or what the response shape is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no padding, and the purpose is front-loaded in the first sentence. The second sentence adds conceptual clarity rather than filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With annotations covering read behavior and no output schema, the description is adequate but still incomplete: it omits pagination expectations, result scope, and the nested path parameter's meaning. For a collection endpoint with 0% schema coverage and nested params, it should do more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the tool has a nested path object plus a query object with page/limit. The description supplies zero parameter semantics, leaving the agent to parse the nested schema alone for a required projectId and optional pagination controls.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and resource ('project issue priorities') and clarifies what the resource represents ('urgency of an issue'). It fits the *collection tool pattern in the sibling list, but it never names or contrasts a sibling like get_issue_categories_collection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of pagination semantics, and no indication of how this configuration-readable tool relates to the sibling list tools. The agent must infer context entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the full safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint), so the description is not the source of that information. It adds a semantic definition of issue resolutions but says nothing about pagination behavior, defaults, or what a 'configured' set implies, so it is only moderately additive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences where the first two ('Get project issue resolutions' and 'Retrieve all issue resolutions configured for a project') restate the same fact, creating redundancy. The third sentence is the only genuinely additive content, so the description is not tightly front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, annotated list tool with no output schema, the description covers the basic purpose but omits pagination semantics for the query object. It is minimally sufficient rather than complete, especially given the nested path structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0%, so the description carries the burden of explaining the nested path.projectId and the query page/limit parameters. It mentions only that the tool is project-scoped and provides no guidance on pagination, page size limits, or the projectId requirement, failing to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Get/Retrieve') and resource ('issue resolutions') scoped to a project, and adds a definition of what an issue resolution is. It does not explicitly differentiate itself from structurally identical siblings like get_issue_categories_collection or get_issue_statuses_collection, but the resource is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this fetches configured issue resolutions for a project. There is no statement of when to prefer it, no prerequisites, and no mention of related sibling collections (statuses, priorities, categories) that an agent might confuse it with.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the project-scoping context and the semantic meaning of the returned entities, but says nothing about pagination behavior or that results are bounded by page/limit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, but the first ('Get project issue statuses') and second ('Retrieve all issue statuses configured for a project') largely restate the same fact, so one sentence does not fully earn its place. Front-loading is good and size is reasonable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only collection endpoint with no output schema, the description explains what is returned conceptually but omits pagination semantics, response shape, and any note on ordering or volume — gaps that matter for a paginated list endpoint with a nested required parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0%, and the nested 'path' and 'query' objects carry no descriptions in the schema. The description supplies no parameter-level detail at all — it never mentions projectId, page, or limit — so it fails to compensate for the coverage gap on a nested-object input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Retrieve all issue statuses configured for a project') and clarifies the domain concept (statuses track workflow state). It is clearly distinguishable from sibling collections like get_issue_priorities_collection or get_issue_categories_collection by resource alone, though it does not explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'configured for a project' — an agent can infer this is the tool for enumerating a project's workflow statuses — but there is no explicit when-to-use guidance, no conditions, and no mention of alternatives among the many sibling collection endpoints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds no further behavioral context such as return format, pagination, or authorization requirements beyond restating the read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, but the second sentence largely repeats the first. It is front-loaded, yet one sentence would have sufficed, so it is only adequately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only tag retrieval tool, the description is minimally adequate: annotations cover safety, and it states that all tags for one issue are returned. However, it does not help distinguish this tool from the collection variant or clarify the nested parameter structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0% for the top-level parameter, and the nested issueId description merely says 'The issue identifier.' The description's 'using its unique identifier' is essentially redundant with that schema text and does not explain the nested path object or add meaningful semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Get/Retrieve) and resource (tags for an issue), and specifies scope via the issue's unique identifier. It is clear, but does not differentiate itself from the sibling get_issue_tags_collection, so it misses the top score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives such as get_issue_tags_collection. The phrase 'for an issue using its unique identifier' implies per-issue usage, but no prerequisites or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive behavior. The description adds the useful scoping detail that only tags currently used on issues are returned, but it omits pagination, auth requirements, and return format details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action, but the first two sentences are largely redundant ('Get all issue tags' vs 'Retrieve all tags...'), and the third sentence about labels is generic filler that does not aid invocation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with no output schema, the description covers the basic purpose but leaves the return value format and parameter semantics unaddressed, making it only minimally complete for an agent to call correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is reported as 0% and the only parameter (project_id) is nested inside a query object. The description does not explain how to supply the project identifier or what form it takes, so it fails to compensate for the low schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Retrieve') and resource ('tags'), and scopes it to tags 'currently used on issues within a project', which helps distinguish it from the issue-level sibling get_issue_tags. However, it never names the sibling explicitly, so a small amount of inference is required.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the project-level scope ('within a project'), but the description offers no explicit when-to-use guidance, no alternatives, and no exclusions relative to the many sibling tag tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is fully covered. The description adds nothing beyond that — no statement about error behavior for invalid IDs, permissions, or what a successful lookup returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences are front-loaded, but the second is essentially a restatement of the first with only marginally more information. It is not bloated, but one sentence would have sufficed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read tool with no output schema, the description should at least hint at what is returned or how failures behave. Combined with the unaddressed two-identifier requirement and no sibling routing, the definition leaves meaningful gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0% (the nested taskId/issueId descriptions are near-tautological), so the description must carry the load. It says 'its unique identifier' in the singular, which is misleading: the schema requires both an issueId and a taskId. The description does not clarify this two-key requirement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb and resource ('Get a specific task'), and the second sentence adds the retrieval mechanism (unique identifier). However, the two sentences largely restate each other, and nothing distinguishes this singular retrieval from the sibling collection tool get_issue_tasks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this instead of get_issue_tasks, get_my_issue_tasks_collection, or put_issue_task/delete_issue_task. The singular-vs-plural distinction is left entirely to inference from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered without the description. The description adds nothing behavioral beyond that — no return format, no pagination, no ordering — so it does not earn credit above the annotation floor.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and short, but the second sentence is a near-verbatim restatement of the first, adding only 'using its unique identifier.' Half the text is redundant padding rather than new information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list getter with full annotation coverage, the essentials are present, but it lacks return-shape and pagination detail and offers no routing among the many sibling task tools. Adequate but not complete for the surrounding tool set.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0%, so the description must compensate. 'Using its unique identifier' hints that the issue's ID is the lookup key, marginally reinforcing the nested issueId field, but it gives no format, type, or nesting detail beyond what the schema structure already shows.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb+resource: 'Get all tasks for an issue.' An agent knows exactly what it does, but the description never distinguishes it from siblings like get_issue_task (singular) or get_my_issue_tasks_collection, so the second sentence only rephrases the first rather than differentiating.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives, exclusions, or prerequisites. Usage is only implied by the tool name, which is weak given the several near-identical sibling task retrievers.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond that — no note on pagination, empty-result behavior, or permissions — and the second sentence merely restates the first. It is redundant rather than enriching.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first sentence, which is good, but the second sentence is a near-verbatim restatement ('Retrieve all test results linked to an issue using its unique identifier') and earns no place. Net effect is a two-sentence description carrying one sentence of information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only lookup with full annotation coverage and no output schema, the minimum is met: the agent knows what it fetches and that it is safe. What is missing is disambiguation from the sibling test-result tools and any note on the nested path parameter or result shape, which are the remaining gaps an agent would hit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description should carry the burden of explaining the nested 'path.issueId' structure. It only says 'using its unique identifier', which confirms that the issue's identifier is required but adds no format, type, or nesting detail beyond what the schema already conveys.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Get all test results linked to an issue'), which is unambiguous on its own. It does not, however, distinguish itself from closely related siblings such as get_test_case_test_results, get_test_run_test_results, or the inverse get_test_result_issues, so the agent must infer the difference from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus the many sibling test-result queries (by test case, by test run, or the reverse get_test_result_issues). The only usage signal is implicit in the phrase 'linked to an issue', which gives context but no exclusions or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds essentially nothing beyond that — no note on auth requirements, error behavior when the milestone is absent, or what the relations expansion actually returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are near-duplicates ('Get a specific milestone. Retrieve a specific milestone using its unique identifier.'), wasting space. The relations tip is front-loaded reasonably but the definition could be one sentence without losing content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should say something about the shape of the returned milestone, and it does not. The relations pointer helps, but for a nested-object tool with a required path parameter the definition is only minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Reported schema description coverage is 0%, so the description must carry the burden, and it partially does by naming the identifier and explaining that relations pull in associated data in one request. It omits the allowed relation values and the list-vs-repeated syntax, which the agent would need for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource (get a specific milestone by unique identifier), so an agent knows exactly what the tool retrieves. However, it never distinguishes itself from the sibling get_milestone_collection, leaving the singular-vs-collection choice to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tool is named. The only usage hint is that the relations parameter can pull associated data in one request, which is parameter guidance rather than tool-selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered. The description adds that filtering, sorting, pagination and relation inclusion are supported, which is useful but states no constraints (pagination defaults, limits, auth requirements).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, front-loaded with the core action, and no wasted prose. The first two sentences are somewhat redundant ('Get all milestones.' / 'Retrieve all milestones from a project.'), which is the only real inefficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a collection endpoint with a deep, self-documenting nested schema and no output schema, the description covers the main capabilities an agent needs. It omits the required project_id and any pagination defaults, but the schema carries those details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Top-level schema coverage is reported as 0% (the single 'query' parameter is undocumented), but the nested schema itself is richly annotated for page, limit, order, with and filter. The description merely names those capabilities ('custom filters, sorting, and pagination', 'relations parameter') without adding syntax or defaults, so it does not materially compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Get all milestones') and scopes it to a project, so an agent knows this is the collection-level reader. It does not, however, distinguish itself from the singular get_milestone or get_milestone_types_collection siblings, so the differentiation is only partial.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance and names no alternative. It never explains when to reach for this collection tool rather than get_milestone (single fetch) or the related batch/delete milestone tools, so the agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds project-scoping and a conceptual definition of milestone types, but does not mention pagination or list-return behavior despite page/limit parameters existing. With annotations doing the heavy lifting, this is a moderate addition.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are largely redundant ('Get all milestone types' and 'Retrieve all milestone types configured for a project'), wasting space. The third sentence adds useful conceptual context, but the overall structure is not as front-loaded or economical as it could be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only collection endpoint with no output schema, the description covers purpose and defines milestone types conceptually. However, it omits mention of pagination and does not explain that the response is a list of types, leaving some gaps for an agent needing to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema itself documents projectId, page, and limit with clear descriptions, so baseline 3 applies. The description reinforces that the collection is project-scoped ('configured for a project') but adds no syntax, format, or pagination guidance beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Get/Retrieve') and resource ('milestone types'), and clarifies that they are project-scoped and categorize milestones by purpose. It does not, however, explicitly distinguish this tool from siblings like get_milestone_collection or other type collections, so it falls short of the top score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It mentions that the types are 'configured for a project', giving minimal context, but provides no guidance on when to use this tool instead of alternatives such as get_milestone_collection or other type-listing tools. There are no exclusions or usage conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds the scoping constraint ('authenticated user') and the related-data capability, but says nothing about pagination defaults, limits, or result shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with the purpose front-loaded, but the first two are near-duplicates ('Get all assigned issues' / 'Retrieve all issues assigned to the authenticated user'), so a full sentence is spent restating the same fact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only collection tool with no output schema, the description is adequate: it establishes scope and the available refinement dimensions. It stops short of explaining the nested argument structure or pagination behavior that an agent needs to call it correctly on the first attempt.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single top-level 'query' object carries no description (coverage reported as 0%), so the description does useful work by naming the four capabilities it wraps: filters, sorting, pagination, and relations. However it never states that these live inside the nested 'query' object, leaving room for a malformed call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource with scope: 'Retrieve all issues assigned to the authenticated user.' The 'my/assigned to me' scoping implicitly separates it from get_issue_collection, but the description never names that sibling, so the differentiation is left to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent what can be done (filters, sorting, pagination, relations) but not when to prefer this tool over get_issue_collection or get_my_issue_tasks_collection, and gives no exclusions or prerequisites. Usage is implied by the 'assigned to me' scope rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds that results are scoped to the authenticated user and require pagination, but does not disclose return format, pagination defaults, or any rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences restate the same idea in slightly different words, so not every sentence earns its place. The text is short and front-loaded, but the redundancy prevents a higher score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only collection tool in a large sibling set, the description omits what kind of tasks are returned and how this differs from closely related issue-task or issue-collection endpoints. Annotations and schema cover safety and pagination fields, but the tool's exact scope remains ambiguous.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mentions pagination but does not explain the page or limit parameters, their defaults, or acceptable ranges. With schema description coverage reported as 0% for this nested parameter, the description does not compensate for the missing parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb and scope: retrieve tasks assigned to the authenticated user. However, it does not distinguish this from sibling tools like get_issue_tasks or get_my_issue_collection, and the word 'tasks' is less precise than the tool name's 'issue tasks'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides no guidance on when to choose this tool over alternatives such as get_issue_tasks or get_my_issue_collection. The only usage-like sentence concerns pagination, not tool selection or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds the meaningful scoping fact that results are limited to the caller's memberships, but says nothing about default page size, result caps, or authentication requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening two sentences say nearly the same thing ('Get all assigned projects' / 'Retrieve all projects that the authenticated user is a member of'), which is redundant. The remaining guidance is brief and front-loaded, so the overall shape is fine but not tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should carry more of the return-shape burden, and with a complex nested filter/relations schema it should offer more than a one-line pointer to relations. It covers the broad capabilities adequately but leaves pagination defaults, sorting syntax, and result envelope unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Top-level schema description coverage is 0% and the single 'query' parameter is a large nested object. The description names the capability buckets (filters, sorting, pagination, relations) which maps onto the schema's groups, but adds no syntax, defaults, or field-level meaning beyond what the nested field descriptions already provide.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It states a specific verb+resource and a clear scope: projects the authenticated user is a member of. That distinguishes it conceptually from the sibling get_project_collection, but the description never names that sibling, so the agent must infer the boundary from the tool name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied ('Apply custom filters, sorting, and pagination') rather than instructed. There is no statement of when to prefer this over get_project_collection or get_project, and no prerequisites or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered structurally. The description contributes the user-scoping constraint, which is genuinely useful, but says nothing about pagination defaults, result caps, or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action and scope, and the remaining sentences are short and purposeful. The first two sentences restate the same fact twice ('Get all assigned test runs' / 'Retrieve all test runs assigned to...'), which is minor redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only collection endpoint with a deeply nested but self-documenting schema and no output schema, the description covers the main axes an agent needs (scope, filtering, sorting, pagination, relations). It omits mention of the required project_id, but the schema marks that as required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description names three capability families (filter, sort, pagination) and the relations parameter, which maps to schema fields. Schema description coverage is reported at 0% at the top level, and the description does not add syntax or format detail beyond naming the concepts, so it only partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Get all assigned test runs') and clarifies the scope is the currently authenticated user, which distinguishes it functionally from get_test_run_collection. It does not name that sibling explicitly, but the 'assigned to the currently authenticated user' qualifier makes the distinction inferable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent that filters, sorting, and pagination can be applied and that relations can be requested, but gives no when-to-use guidance, no condition that routes the agent here versus get_test_run_collection, and no exclusions. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, destructiveHint=false. The description adds nothing beyond this — no mention of what is returned, error behavior for missing IDs, or access scope.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that say the same thing; the second is pure redundancy rather than front-loaded value. Nothing in the text earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-by-ID tool with no output schema and one nested parameter, the description is technically adequate but contributes no information beyond the name and annotations. It fails to clarify the identifier's shape or the tool's relation to sibling project lookups.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% overall, and the only meaningful detail — that the parameter is a project identifier — is stated both in the description ('unique identifier') and the schema's projectId description. The nested 'path' wrapper object is not explained, and the description adds no format or constraint information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The two sentences restate the tool name ('Get a specific project' / 'Retrieve a specific project using its unique identifier') without adding distinguishing detail. It does convey verb+resource but offers nothing to tell it apart from the many sibling read tools like get_project_collection or get_my_project_collection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus get_project_collection (list) or get_my_project_collection, nor any prerequisite or context. Usage is entirely implied by the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, covering the safety profile. The description adds that filters, sorting, pagination, and relations are supported, but does not disclose pagination defaults, rate limits, or response format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are redundant ('Get all projects. Retrieve all projects.'), which hurts conciseness. The remaining sentences are front-loaded and informative, but the repetition is unnecessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a complex nested filter object and no output schema. The description covers high-level capabilities but omits details like pagination limits, default page size, and the exact parameter names for relations and filters, leaving some gaps for an agent to fill from the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description refers to a 'relations parameter,' but the schema uses 'with' inside the 'query' object. It does not explain the nested structure or provide syntax details, and top-level schema description coverage is 0%, so the description fails to fully compensate for the gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Get all projects' / 'Retrieve all projects.' It distinguishes itself from the singular get_project tool implicitly, but does not explicitly differentiate from sibling collection tools like get_my_project_collection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It mentions applying custom filters, sorting, and pagination, which implies usage, but provides no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is fully covered. The description adds only mild domain context (members have access and act via roles), and says nothing about pagination behavior or authorization requirements, so it barely clears the bar set by the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but the first two sentences are near-verbatim restatements ('Get all project members' / 'Retrieve all members of a project'), so one of them does not earn its place. The remaining sentence is background rather than operational detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, paginated collection endpoint with no output schema, the description should convey return shape (what a member record contains) and pagination behavior. It gestures at member semantics but omits pagination and any note on ordering or result envelope.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mentions none of the inputs: the nested path.projectId, or the query.page/limit pagination parameters. With schema description coverage reported at 0%, the description needed to compensate for parameter semantics and does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource: 'get all project members' / 'retrieve all members of a project.' The purpose is unambiguous, but it never distinguishes this tool from similar collection tools such as get_team_members, get_user_collection, or get_project_collection in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or which alternative to pick (e.g., team members vs. project members). The third sentence describes the domain concept of a member but gives no invocation context or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value by enumerating what the response contains (name, description, type, custom fields) and by calling out relation expansion, but it is silent on error behavior for a missing/nonexistent ID and gives no note about the openWorldHint scope.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences restate the same fact ('Get a specific requirement' then 'Retrieve a specific requirement using its unique identifier'), which is redundant padding. The last two sentences earn their place by describing the payload and the relations option.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description partially compensates by naming the returned fields, but for a nested-path tool with relation expansion it omits key details such as what happens when the ID does not exist or is inaccessible. Adequate but with visible gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description must carry the load; it does identify that the lookup is by unique identifier and that 'relations' pulls in associated data. Yet it never explains the identifier format (integer ID vs. key) or which relation values are legal, so compensation is partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Get a specific requirement' / 'Retrieve a specific requirement using its unique identifier'), which is unambiguous against collection-style siblings like get_requirement_collection. However, it never explicitly distinguishes itself from the other requirement-scoped reads (get_requirement_tags, get_requirement_test_cases) beyond the singular/plural distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the identifier-based lookup context makes it clear this is the single-record read, and the last line points at the relations parameter for expanding associated data. There is no explicit when-to-use/when-not or naming of alternatives such as the collection endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, so the safety profile is covered. The description adds that filters/sorting/pagination and relations are supported, but says nothing about defaults, max page size, or result volume beyond what the annotations and schema imply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are near-duplicates ('Get all requirements.' / 'Retrieve all requirements from a project.'), which wastes the front-loaded position. The remaining sentences are useful but the opening is redundant padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description is not obliged to explain returns, but for a nested-schema, one-required-param list tool it should at least state that project_id is mandatory and give a hint about paged result shape. As written it is minimally viable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Reported schema description coverage is 0% at the top level, so the description must compensate; it does so loosely by naming filters, sorting, pagination, and relations, each mapping to nested fields (filter, order, page/limit, with). However it omits the required project_id and the free-text 'query' search field entirely.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Get all requirements' / 'Retrieve all requirements from a project.' The collection-vs-singular distinction from sibling get_requirement is implicit in the name and scope, but the description never names an alternative to distinguish it explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Apply custom filters, sorting, and pagination to find the requirements you need' implies the intended retrieve-and-filter use case, but there is no when-to-use vs. when-not guidance and no routing to siblings such as get_requirement (single) or get_requirement_test_cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, covering the safety profile. The description adds no behavioral context beyond matching those annotations, such as return format or pagination, but it does not contradict them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the core purpose front-loaded. The second sentence largely restates the first with only the identifier clarification added, which is mild redundancy rather than clutter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read operation with annotations and no output schema, the description states what is returned ('all tags') and how the target is identified. It does not describe the output shape or differentiate from the collection sibling, so it is adequate but leaves gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0%, so the description must compensate. It does partially by saying 'using its unique identifier,' which clarifies the requirementId parameter, but it does not explain the nested path wrapper or add formatting details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb 'Get' and resource 'tags' scoped to a requirement, and 'using its unique identifier' distinguishes it from broader tag-collection siblings such as get_requirement_tags_collection. An agent can identify the operation without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: retrieve tags for a specific requirement. However, there is no explicit when-to-use guidance, no exclusions, and no comparison with the sibling get_requirement_tags_collection, so the agent must infer the routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds that tags are scoped to a project and currently used, a mild behavioral note, but doesn't cover pagination, sorting, or return shape. Baseline 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action, which is good. The second paragraph explaining what tags are is filler that doesn't help an agent invoke the tool and inflates length without adding invocation value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with annotations covering the safety profile and a documented single parameter, the description is adequate but thin. It could say whether results are paginated or filtered by tag type, but nothing an agent needs to call it is strictly missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and there is one nested required parameter (query.project_id). The description implies project scoping ('within a project') which matches the schema, but adds no format, type, or wiring detail. Schema itself has a description on project_id, so baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Get all requirement tags.' and clarifies scope as 'tags that are currently used on requirements within a project.' It doesn't explicitly differentiate from the near-twin sibling get_requirement_tags, but the collection/scope framing does some work.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance. Nothing steers the agent to this tool over get_requirement_tags or the issue/risk/test-case tag variants, apart from the implied 'all tags' scope.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that: no indication of whether results are paginated, how large the result set may be, or what happens if the requirement has no test cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that say the same thing — the second is pure redundancy rather than added information. Short, but the length is spent on repetition instead of useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with no output schema and annotations covering the safety profile, the description is minimally adequate. It omits pagination behavior and the relationship to get_test_case_requirements, which matters in a sibling set this dense.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the parameter is a nested object, so the description has to carry weight. It does clarify that the identifier is the requirement's unique ID, which maps to requirementId, but it adds no format or type detail beyond that; partial compensation only.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: retrieve test cases assigned to a requirement. However, the second sentence merely restates the first with slightly different words, and it never distinguishes this tool from the inverse sibling get_test_case_requirements, leaving the agent to infer the direction of the relationship.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of the closely related get_test_case_requirements sibling that returns the same association from the other direction. The agent gets no help choosing between them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered. The description adds that results are project-scoped and defines the resource's meaning, but says nothing about pagination behavior or response shape, so it is additive but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded, with the core verb+resource leading. The first two sentences are largely redundant ('Get all requirement types' / 'Retrieve all requirement types configured for a project'), which costs a little efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only collection endpoint with no output schema, it covers what the tool returns and its project scope, which is enough for correct invocation. Mentioning pagination defaults or an example result would complete it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents projectId, page, and limit inline, so the schema carries most of the parameter burden. The description only reinforces that scope is 'configured for a project', adding no detail on pagination or limits beyond what the schema states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get all requirement types'), scopes it to a project, and adds a clarifying definition ('classify requirements by their nature, such as functional or non-functional'). It is easy to distinguish from write siblings like post_requirement, though it does not explicitly differentiate itself from the parallel get_*_collection tools (e.g. get_risk_classifications_collection).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is project-scoped but gives no when-to-use guidance, no exclusions, and never names an alternative among the many sibling collection endpoints. An agent gets a purpose but no routing logic.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the call returns full risk details (name, description, classification, custom fields) and that relations can be embedded, which is real added context, but it says nothing about auth, error behavior for a missing/invalid riskId, or deleted-risk handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences restate the same idea ('Get a specific risk' / 'Retrieve a specific risk using its unique identifier'), so one of them is pure redundancy. The remaining sentences about returned fields and relations are useful and reasonably front-loaded, but the opening wastes space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only single-resource fetch with annotations covering safety and no output schema, the description covers the essentials: what identifies the risk, what comes back, and how to expand related data. Only minor gaps remain, such as not clarifying the `with` vs 'relations' naming or error behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents the nested riskId ('The risk identifier.') and the `with` parameter in detail, including its enum values and comma-separated syntax. The description's only parameter-level contribution is the phrase 'relations parameter', which does not match the schema's actual name `with` and could cause a naming mismatch for the agent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Get a specific risk', 'Retrieve a specific risk using its unique identifier'), making the single-item fetch unambiguous. It does not explicitly contrast with get_risk_collection, though 'specific' plus the required riskId implies the distinction well enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives one concrete usage hint — use the relations parameter to pull associated data in a single request — which is genuinely useful guidance. But there is no when-to-use/when-not-to-use framing and no mention of alternatives such as get_risk_collection or the dedicated get_risk_tags/get_risk_test_cases endpoints for related data.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds that the classifications are 'configured for a project' and defines their purpose, but it does not describe pagination behavior, output format, or any special access constraints beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded and reasonably sized, but the first two sentences are near-duplicates: 'Get all risk classifications' and 'Retrieve all risk classifications configured for a project' say essentially the same thing. The third sentence adds a brief definition, but the redundancy reduces efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple collection getter with annotations and a nested input schema, the description is minimally adequate. However, it omits relevant details such as pagination behavior (implied by the query parameters) and what the response contains, and with no output schema the description could do more to set expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage reported at 0%, the description must carry meaning for the parameters, but it only implies the required projectId via 'configured for a project.' It does not mention the optional page or limit query parameters at all, leaving pagination semantics undocumented in both the description and schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Get all risk classifications' and 'Retrieve all risk classifications configured for a project.' It distinguishes the tool from risk-related siblings like get_risk_collection by specifying 'classifications,' though it does not explicitly name an alternative tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not say when to use this tool versus alternatives. It implies usage by stating it retrieves classifications for a project, but provides no exclusions, prerequisites, or comparison to sibling collection endpoints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds that results are project-scoped and that relations can be requested, but says nothing about pagination defaults, result caps, or permission requirements beyond what annotations and schema supply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, front-loaded with the core action, and the capability summary is easy to scan. 'Get all risks' and 'Retrieve all risks from a project' are redundant restatements of the same idea, which is the only wasted space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with a richly documented nested schema and safety annotations, the description is adequate. It omits anything about the shape of the returned collection or pagination behavior, and with no output schema that information is unavailable elsewhere, leaving a modest gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single top-level parameter (the nested query object) has no schema description, though its nested properties are thoroughly documented with descriptions, enums, and bounds. The description maps loosely onto four capability groups (filters, sorting, pagination, relations) but adds no syntax or default-value detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get all risks... Retrieve all risks from a project'), so the agent knows this returns a risk collection rather than a single risk. It does not name or contrast with the sibling get_risk or the other *_collection tools, so sibling differentiation is left to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second and third sentences imply usage ('Apply custom filters, sorting, and pagination to find the risks you need') but give no when-to-use vs. when-not-to-use guidance and never point to an alternative such as get_risk for a single record or get_risk_test_cases for related test cases. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is fully covered. The description adds no behavioral context beyond that – no return shape, pagination, or error behavior – and largely repeats the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, which is good, but the second sentence is pure redundancy of the first. It is efficiently sized yet low in information density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only lookup with full annotation coverage and no output schema, this is minimally adequate. However, the nested path parameter structure and the relationship to get_risk_tags_collection are left unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0% and the nested 'path' wrapper object is undocumented, though the inner riskId field does carry 'The risk identifier.' The phrase 'using its unique identifier' loosely maps to riskId but adds no format or type guidance beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource (get tags for a risk), but the second sentence merely restates the first with no added specificity. It also fails to distinguish this tool from the closely named sibling get_risk_tags_collection, leaving the agent to infer the singular-vs-collection distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of the alternative get_risk_tags_collection for retrieving tags across risks. The agent gets no help choosing between the two closely related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description usefully adds that results are scoped to tags actively used on risks within a single project, but says nothing about pagination, ordering, or auth requirements, so it adds moderate value rather than rich context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first sentence, but the second sentence largely restates it, and the third sentence is generic filler defining what a tag is. Two of three sentences are near-redundant, so it is adequate rather than tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries some burden for describing returns; it conveys that the result is the set of tags used on project risks, which is sufficient to call the tool. It omits return shape and error/empty behavior, leaving it at minimum viable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single nested parameter (query.project_id) whose schema description is minimal, and context reports 0% coverage. The description compensates partially by making the project scoping explicit ('within a project'), but adds no format, type, or edge-case detail beyond that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource ('Get all risk tags') and scopes it to tags 'currently used on risks within a project,' which clearly distinguishes it from non-tag tools. It does not, however, differentiate itself from the sibling get_risk_tags or from the parallel *_tags_collection tools, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this versus get_risk_tags, get_risk_collection, or the other tag collections. The only implied usage is that the tags help 'filter and group related risks,' which hints at purpose but offers no selection criteria or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds almost no behavioral context beyond that – it does not mention pagination, result volume, or the shape of the returned list, so it contributes little beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, which is good, but the second sentence is a near-verbatim restatement of the first and earns no additional information. It is adequately sized but contains redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple single-parameter read tool with rich safety annotations, so little is strictly required. Still, with no output schema the description says nothing about what the returned test cases contain or how they are scoped, leaving a modest gap for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the input is a nested 'path' object whose wrapper is undocumented in the schema. The description's phrase 'using its unique identifier' only faintly reinforces the riskId semantics and does nothing to explain the required nested path structure, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Get test cases assigned to a risk') and defines the lookup key ('using its unique identifier'), so the purpose is unambiguous. However, it offers no differentiation from closely related siblings such as get_test_case_risks (the inverse relation) or get_requirement_test_cases, and the second sentence merely restates the first.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the inverse get_test_case_risks or the sibling collection getters. The description provides no context, prerequisites, or exclusions – only a restatement of what the tool fetches.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is fully covered by structured data. The description adds nothing about result size, ordering, or scope, contributing no behavioral context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that say exactly the same thing; the second is pure redundancy. Short, but the sizing comes from under-specification rather than disciplined concision.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter list tool with no output schema, the description still leaves the central question unanswered: what is a 'symbol' in this resource model. Sibling tools at least name concrete domains (issues, risks, test runs), while this one stays opaque.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so schema coverage is moot and the baseline of 4 applies. Nothing in the description is needed to clarify non-existent parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name with no added meaning: 'Get all symbols. Retrieve all available symbols.' It never identifies what a 'symbol' is in this API's domain, and with a large family of sibling get_*_collection tools it offers no differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.