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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true), so the description's job is to add context. It adds essentially none: no auth/permission requirements, no note that the comment is posted immediately and visible, and no error behavior. The only nuance is that the target may be an issue or a PR.

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?

A single short sentence with no filler and the key concept front-loaded. It is efficient, though its brevity reflects under-specification rather than tight editing of rich 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 mutation tool with no output schema, the description should at least clarify auth expectations, whether the comment is posted on issues vs. PRs (partially covered), and what is returned. It omits all of this, leaving the agent with minimal context beyond 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% across 4 required parameters, so the description must compensate. It only clarifies that 'number' refers to an issue or pull request number; owner, repo, and body are left entirely to the schema's title-level fields with no added meaning (e.g., repo format, body length limit).

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 ('Comment on a GitHub issue or pull request'), so an agent knows exactly what the tool does. It does not explicitly differentiate itself from the sibling jira_add_comment or github_create_issue, but the GitHub/comment pairing 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?

There is no guidance on when to use this versus alternatives such as jira_add_comment or github_create_issue, nor any prerequisites (e.g., the target must already exist). Usage is only implied by the tool 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=false, destructiveHint=false, and openWorldHint=true, so the safety profile is partly covered. The description adds nothing beyond that: no auth requirements, no rate limits, no note about what happens with the optional body, and no mention that this mutates external state.

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?

A single front-loaded sentence with zero filler. It is efficient, though the brevity reflects 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 four-parameter mutation tool with no output schema and 0% schema description coverage, the description omits nearly everything an agent needs: which params are required, what the body is for, and what the call returns.

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 are 4 parameters, so the description must compensate but does not. It hints at owner/repo via 'owner/repo' but says nothing about the required title field or the optional body field, including its 10,000-character limit.

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 (open/create) and resource (GitHub issue), and names the target as owner/repo. The platform prefix implicitly distinguishes it from jira_create_issue, but there is no explicit routing language.

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 jira_create_issue or other issue-creation siblings, and no stated prerequisites (auth, permissions, scope). The agent must infer everything 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=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds that the result includes files changed, additions, deletions, and an overview, but it does not clarify pagination, rate limits, or the exact shape of the overview.

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 a single, front-loaded sentence that efficiently states the tool's purpose and the main output fields with no wasted words.

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 summary tool with no output schema, the description gives a useful high-level view of the return contents. However, with 0% parameter coverage, it leaves the meaning and expected values of owner/repo/number 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 0%, so none of the three parameters (owner, repo, number) are documented in the schema. The description does not compensate by explaining what these parameters represent or their expected formats.

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: 'Summarize a pull request diff', and names the components included in the summary. It clearly distinguishes this from listing pull requests, though it does not explicitly name alternatives in text.

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 given on when to use this tool versus alternatives such as github_list_pull_requests or other GitHub tools. The intended use is only implied by the tool name and description.

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, non-destructive, open-world behavior, so safety is covered. The description adds nothing beyond that — no note on result ordering, pagination behavior, or whether listing spans all states by default. 'state is open, closed, or all' simply restates the enum already present in the schema.

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 purpose front-loaded and no filler. It is efficiently sized; the issue is under-specification rather than 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 simple read-only list tool with annotations covering the safety profile and no output schema, the description is close to adequate. However, the un-explained max_results cap means an agent has no idea results are truncated by default, which is the main missing piece.

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%, so the description must carry parameter meaning, yet it addresses only state — and only by repeating the enum values. owner, repo, and especially max_results (default 10, max 50, i.e. a pagination cap) are left entirely unexplained, which is a real gap for a listing tool.

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 — 'List pull requests in a repository' — which is clearly distinguishable from the other github siblings (get_pr_diff_summary, create_issue, add_comment) and the jira tools. It does not explicitly name or contrast with any sibling, 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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as github_get_pr_diff_summary. The only contextual statement is an enumeration of state values, which is parameter data 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=false, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing beyond that: it doesn't say who the comment is attributed to, what permissions are required, or what the call 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?

A single, front-loaded sentence with no wasted words. It is efficient, though its brevity comes at the cost of covering more ground.

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 two-parameter tool with annotations covering the safety profile and no output schema, the essentials are present. Still missing practical context such as required permissions, attribution of the comment, and the result of a successful call.

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%, so the description must carry parameter meaning. The 'PLAT-101' example usefully illustrates the issue_key format (already enforced by the schema pattern), but 'body' — the comment text — is never explained, and no additional semantics are added for either parameter.

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 (add) and resource (comment on a Jira issue) and gives a concrete issue-key example, so an agent can tell it apart from jira_create_issue or github_add_comment. It does not explicitly name which sibling to prefer, but the Jira/comment combination 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?

There is no when-to-use guidance, no mention of prerequisites (e.g. the issue must exist, the caller must have comment permission), and no comparison to alternatives. Usage is only inferable from the verb 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=false, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds one genuine behavioral fact beyond the schema: 'New issues start as Open' (initial workflow status). It omits permission requirements and any side effects, but with annotations carrying the safety burden 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?

Three short, front-loaded sentences with the core action first. The issue_type enumeration duplicates the schema's enum, which is slightly wasteful, but overall it is tight and readable.

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 no output schema and 0% schema coverage, the description is too thin: it does not clarify which fields are required, what the created issue's key is, or any per-issue-type field requirements. 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?

Schema description coverage is 0%, so the description bears the full burden, yet it only restates the issue_type enum values already present in the schema. It says nothing about the required project key pattern, the summary field, or the description field.

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 ('Create a Jira issue') with no ambiguity about the core action. It does not explicitly differentiate from sibling tools, though the jira_ prefix and 'create' verb make the scope reasonably clear.

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 alternatives such as jira_search_issues or github_create_issue, and no prerequisites (auth, project existence) are mentioned. The only 'guidance' is a statement of defaults, not a when-to-use condition.

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, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds nothing behavioral beyond that: it never mentions pagination, the default/max result window, or what a search returns, which are the traits an agent would actually need here.

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, purpose front-loaded ahead of the syntax hints, with no filler. Slightly terse in a way that leaves gaps, but nothing 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?

No output schema exists, so the description carries the full burden of describing returns, and it says nothing about result shape, ordering, or pagination. It covers the query syntax adequately for a 2-parameter tool but leaves the output side and 'max_results' semantics 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 0%, so the description must carry parameter meaning. It does add real syntax for the required 'query' parameter (project:KEY, status:"Name", type:Bug, key:KEY-1, free text), but leaves 'max_results' and its default of 10 / cap of 50 entirely 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?

States a specific verb+resource ('Search Jira issues'), which is clearly distinct from write-oriented siblings like jira_create_issue, jira_add_comment, and jira_transition_issue. It does not explicitly name or differentiate itself from any sibling, but the verb alone 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?

There is no statement of when to use this tool versus alternatives, nor any prerequisites, rate limits, or scope caveats. The 'Use project:KEY...' sentence describes query syntax rather than selection guidance, so an agent gets no routing help.

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=false, destructiveHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. The description adds the mock-workflow status list, which is useful context, but says nothing about the consequence of a transition (the prior status being replaced, reversibility, or any permission requirements) for a tool flagged destructive.

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 action and followed by the constrained value set. No filler or 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 simple two-parameter mock tool with no output schema, the description covers the operation and the valid status domain; mutation semantics are largely carried by the annotations. Only minor gaps remain around permissions and reversibility.

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%, so the schema alone only exposes a regex pattern for each argument. The description partially compensates by naming the four valid status values, which is genuine added meaning over the pattern, but it says nothing about the issue_key format or behavior.

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 ('Move a Jira issue to a status') and enumerates the valid target statuses, so an agent knows exactly what the tool accomplishes. It doesn't explicitly name sibling tools, but the verb+resource pair is distinct enough from jira_create_issue and jira_search_issues that differentiation is implicit.

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 when to use it (an issue needs a status change) and usefully constrains the status value set to 'Open, In Progress, In Review, Done'. However, it offers no explicit when/when-not guidance, no prerequisites, and no routing away from alternatives like jira_create_issue.

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