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

There are no annotations, so the description carries the full burden of behavioral transparency. It states that the operation assigns or updates members, but it does not disclose whether existing members are overwritten, whether members are added incrementally, or what side effects occur for removed associations. For a mutation tool, this ambiguity is a meaningful gap.

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 compact and front-loaded with the primary purpose, followed by a scannable Args block. There is minimal redundancy, though 'client_id: The client ID' is somewhat tautological. Overall, it earns its space without excessive prose.

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 two-parameter mutation with an output schema, the description is nearly sufficient, but the ambiguous assign/update behavior leaves an important gap. An agent cannot determine whether the tool replaces the entire member set or appends to it, and there is no note about prerequisites or side effects. The output schema reduces the need to describe return values, but behavioral context is still 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%, so the Args section is the only source of parameter meaning. It adds basic semantics and an example for member_ids ([1, 2, 5]), but client_id is only described as 'The client ID', which adds little beyond the schema. It does not clarify whether member_ids must reference existing users or whether passing an empty list has any effect.

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 clearly states the action (assign/update) and the resource (client members), which makes the tool's scope evident and helps distinguish it from wetrack_update_client and other client-level tools. The 'members' qualifier is specific enough that an agent can tell what resource is being affected. It is slightly vague about whether 'update' means replacing or appending, but the core purpose is 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 is given for when to use this tool versus alternative client-management tools such as wetrack_update_client or wetrack_create_client. The description does not mention whether this tool is appropriate for replacing the full member list, appending members, or removing members via an empty list. An agent must infer usage from the tool name and description 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the file is 'registered' and gives the prerequisite, but it does not describe side effects, return behavior, error conditions, idempotency, or what happens on duplicate file names or invalid folder IDs.

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 compact and well-structured: one sentence for the core purpose, one sentence for the prerequisite workflow, then a flat parameter list. Every sentence earns its place with no filler or repetition.

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 moderate complexity, zero annotation coverage, and 0% schema description coverage, the description provides the essential workflow and all parameter meanings needed to call it. An output schema exists, so return values need not be described; minor missing details are error handling and validation 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 0%, and the description compensates by explaining all six parameters: project_id is a UUID, file_size is in bytes, s3_url is the upload-returned URL, file_type is a MIME type, and folder_id is a UUID. It does not explicitly flag which parameters are optional, but the schema defaults cover 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 opens with a specific action and resource: 'Register an already-uploaded S3 file in project files.' This clearly distinguishes it from related upload and file-management tools and leaves no ambiguity about what the tool accomplishes.

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 explicitly states the required workflow: 'Upload to S3 first using wetrack_get_upload_presign_url, then call this.' This tells the agent exactly when to use the tool and names the prerequisite sibling tool, leaving nothing to inference.

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?

No annotations are provided, so the description carries the burden. It discloses the S3 precondition and the required fields, but does not state what happens on success/failure, whether the attachment is immediately visible, or any side effects. The precondition is useful behavioral context, but the description is otherwise thin on runtime 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 compact and front-loaded with the core action and precondition, followed by a concise parameter list. The parameter list is slightly redundant with the schema but earns its place by adding semantic detail. No wasted sentences.

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 5-parameter tool with no annotations and 0% schema coverage, the description covers the key workflow (upload first, then attach) and all parameter meanings. It doesn't describe the output schema, but an output schema exists, so the description needn't explain return values. Minor gap: no error/edge-case guidance, but the core call is well specified.

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 compensate. It does: it explains ticket_id is a UUID, url is the S3 URL of the uploaded file, file_name is the original name, file_size is in bytes, and file_type is a MIME type. This adds meaning beyond the bare schema titles, though it doesn't clarify why file_type is optional/nullable.

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 ('Add'), a specific resource ('file attachment to a ticket'), and a critical precondition ('the file must already be uploaded to S3'). It is clearly distinguishable from sibling tools like wetrack_add_ticket_comment and wetrack_delete_ticket_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?

The description explicitly tells the agent to use wetrack_get_upload_presign_url to upload to S3 first, then call this tool. This is a clear when-to-use instruction and names the prerequisite alternative. It also implies this is the correct tool after upload, distinguishing it from the delete/comment siblings.

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?

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only says 'Add a comment,' which implies mutation, but it does not mention side effects, required permissions, idempotency, or whether the comment is appended to the ticket's history.

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 minimal and front-loaded with the core action, followed by a compact Args list. Every sentence contributes useful information, with no filler or repetition.

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 an output schema, the description covers the essential invocation details. However, it is missing context about when this tool should be selected over related ticket tools and what behavioral effects (e.g., notification, visibility, editability) the comment creation triggers.

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 compensate. It does add meaningful detail: ticket_id is identified as 'The ticket UUID' and comment is exemplified with realistic text, helping the agent understand expected value formats beyond the bare schema property 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 action and resource: 'Add a comment to a ticket.' This is clear and distinct from sibling tools like wetrack_get_ticket_comments and wetrack_add_ticket_attachment, though it does not explicitly contrast itself with those alternatives.

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 updating a ticket or adding an attachment. The intended use is implied by the tool name and first line, but no prerequisites, exclusions, or alternative routing 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?

With no annotations, the description carries the full burden. It does add behavioral context by explaining that skip_invite_email is intended for SSO-only users and by listing required fields. However, it does not disclose important mutation behaviors: whether invite emails are sent by default, how duplicate emails are handled, whether creation is atomic or partially succeeds, or any permission requirements. For a bulk create operation, these gaps are noticeable but not disqualifying.

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 compact and well-organized: a one-line purpose statement, a clear Args section, and a concrete example. Every sentence contributes useful information and there is no redundant or filler 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?

The description covers the critical input structure and example, and an output schema exists so return values are presumably documented. However, for a bulk creation tool it omits important operational details that an agent might need: allowed role values are only exemplified, not enumerated, and there is no mention of duplicate handling, validation behavior, or partial failure semantics. These are meaningful gaps for a mutating bulk 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?

The input schema provides only minimal structure (an array of objects with additionalProperties, and a boolean default). The description fully compensates by specifying exact required fields, the optional user_name, the meaning of skip_invite_email, and a complete example of the users list. This gives an agent everything needed to construct valid arguments.

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 opens with a specific verb+resource: 'Bulk create multiple user accounts at once.' This clearly distinguishes it from the sibling wetrack_create_user, which handles single-user creation. The required fields and example make the tool's purpose immediately understandable.

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 'Bulk create ... at once' implies this is for creating multiple users in one call, contrasting with the single-user sibling wetrack_create_user. The skip_invite_email guidance adds a concrete usage condition: set True for SSO-only users who won't use password login. It stops short of explicitly naming alternatives or when-not-to-use scenarios, but the context is clear.

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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action and lists parameters, but does not disclose side effects (e.g., invalidating sessions), authentication requirements, failure modes, or what happens on success. The only behavioral hint is that confirm_password must match new_password, which is a validation constraint but not a behavioral trait. This is insufficient 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 description is extremely concise, with a single sentence stating the tool's purpose followed by a clean list of arguments. It front-loads the main action and avoids any filler. Every line earns its place, and the structure makes it easy to scan.

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 password-change tool, the description covers the core action and all required parameters. The presence of an output schema (though not shown) reduces the need to describe return values. It does not mention side effects or error handling, but given the tool's simplicity and the output schema, it is reasonably complete. It could be improved by noting that the user must be authenticated (though 'logged-in user' implies it) and by specifying any session invalidation 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 has zero description coverage for parameters, so the description must compensate. It provides a one-line description for each parameter: 'current_password: The user's current password', 'new_password: The new password to set', and 'confirm_password: Must match new_password exactly'. This adds meaning beyond the bare parameter names and even specifies a validation rule for confirm_password. While not exhaustive (e.g., no complexity requirements), it adequately conveys the purpose of each 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?

The description uses a clear verb ('Change') and specifies the resource ('logged-in user's password'). It distinguishes itself from related siblings like wetrack_set_password (likely for admin-set passwords) and wetrack_forgot_password (for reset via email) by explicitly targeting the authenticated user's own password. The statement is unambiguous and allows an agent to select this tool over its siblings.

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 provide any explicit guidance on when to use this tool versus alternatives like wetrack_set_password or wetrack_forgot_password. It states the action ('change the logged-in user's password') but does not mention conditions, exclusions, or alternative tools. The context is implicit rather than stated, so an agent must infer when this is appropriate.

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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only lists parameters and the creation verb; it does not mention authentication requirements, duplicate client handling, mandatory validation rules, or what side effects occur beyond creating a record.

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 summary sentence is immediate and the Args block is compactly organized. Every parameter entry earns its place by adding examples or clarification, with no redundant prose.

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 10-parameter creation tool with no annotations and no schema descriptions, the description covers all inputs and references the timezone lookup tool. It still lacks usage differentiation from similar creation/update tools, but the presence of an output schema and complete parameter docs makes it largely sufficient for invoking the tool.

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 explain every parameter, and it does. It adds concrete examples, clarifies contact_email vs email, and gives a precise source for timezone_id via wetrack_list_timezones, which is exactly the value needed 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 clearly states 'Create a new client organisation', which identifies the verb and resource. It is not explicitly differentiated from the sibling wetrack_create_organisation, so it stops short of the highest clarity 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 guidance on when to use this tool versus alternatives like wetrack_create_organisation, wetrack_update_client, or wetrack_add_client_members. The only indirect usage hint is 'timezone_id ... get from wetrack_list_timezones', which is a dependency rather than a usage policy.

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?

With no annotations provided, the description carries the behavioral burden. It states that this creates a new metadata field definition and documents defaults and conditional requirements, but it does not disclose side effects such as duplicate-label handling, whether the field becomes active immediately, or permission 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 description is front-loaded with a one-sentence purpose, then uses a compact Args list and a concrete example. Each sentence adds necessary information, and the structure makes conditional parameters easy to parse.

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 7-parameter create tool with conditional dependencies, the description covers every parameter, requiredness rule, and the options-object format. Since an output schema exists, not describing the return value is acceptable.

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 description fully compensates: it lists allowed values for resource_type, field_type, and ticket_type; explains label and helper_text; documents the is_required default; and specifies the exact options object format with an example.

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, 'Create a new custom metadata field definition,' uses a specific verb and resource and clearly distinguishes this tool from sibling metadata tools like wetrack_update_metadata_field, wetrack_delete_metadata_field, and wetrack_get_metadata_field.

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 provides clear conditional guidance: ticket_type is required when resource_type is 'TICKET', and options are required for 'SELECT'/'MULTI_SELECT' fields. It does not explicitly name sibling alternatives, but the conditional parameter usage is strong enough for an agent to apply the tool correctly.

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?

No annotations are provided, so the description carries the full burden. It states 'Create' implying a mutation, but does not disclose side effects, authentication requirements, response structure, or any potential errors. For a write operation, this is a significant gap in transparency.

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 extremely concise and well-structured. It leads with the action, then lists parameters with examples in a clear list format. Every sentence earns its place, and there is no 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?

The tool has an output schema (though not shown), so return values are presumably documented there. The description covers all input parameters with examples, which is sufficient for an agent to construct a valid call. However, it lacks any notes on uniqueness constraints (e.g., slug) or potential side effects, but given the output schema and the simplicity, it is reasonably 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?

The schema has 0% description coverage, so the description must compensate. It does so by providing concrete examples for each parameter ('name: Organisation name e.g. 'Vithi IT Solutions''), which adds meaning beyond bare property names. It maps all five parameters and clarifies 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 clearly states the action 'Create a new organisation' with a specific resource. It distinguishes itself from other create tools by the resource type, though it doesn't explicitly name alternatives. The verb and resource are clear, so an agent can identify its purpose.

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 like list_organisations or update_project. No context is given about typical scenarios, prerequisites, or when not to use it. The description is purely declarative with no 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?

With no annotations, the description carries the behavioral burden. It usefully discloses that sprints are auto-generated from the timeline and that key serves as a ticket prefix, but it is silent on permissions, validation failures, idempotency, and what happens on success beyond creating the project.

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 two-sentence purpose/behavior header is tight, and the Args block is compact and consistently formatted. The length is justified because the schema has no descriptions to rely on; there is no 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?

All parameters are covered and the main side effect is stated; an output schema exists, so the missing return-value detail is acceptable. The description could still be more complete with explicit prerequisites or exclusions, but it contains what is needed for a correct 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%, yet the Args block documents all nine parameters with formats, examples, a default, and the key's purpose. This fully compensates for the schema's silence and is exactly what an agent needs to form correct arguments.

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 opening sentence states a concrete action and resource: 'Create a new project.' The side-effect note about auto-generated sprints adds scope and prevents confusion with project update/delete/list siblings. It is specific and not a tautology.

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 usage context is clear: this is the creation tool for projects, distinct from wetrack_update_project and wetrack_delete_project. However, it never explicitly names alternatives or exclusion conditions, so it stops short of full 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?

No annotations are provided, so the description carries the full burden. It discloses the core creation action but omits permissions, duplicate-name behavior, handling of missing parent folders, and any side effects. For a mutation tool, this leaves the agent guessing about important behavioral 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?

Concise and front-loaded: it opens with the primary action, then provides a terse Args block. No filler or redundant restatement of the tool name, and the example for name is genuinely useful.

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?

Essential parameters are covered and an output schema exists to explain return values, but the description lacks preconditions, permission requirements, and edge-case behavior. For a straightforward create action this is mostly adequate, though an agent would still be uncertain about failure semantics given no annotations.

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%, but the description compensates by explaining all three parameters: project_id is 'The project UUID', name includes an example '01. Requirements', and parent_folder_id is 'UUID of parent folder for sub-folders.' This adds format and purpose details beyond the schema's bare type/title 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?

States a specific verb and resource: 'Create a folder (or sub-folder) inside a project's file storage.' This clearly identifies the tool's action and scope, and distinguishes it from sibling file-related tools like wetrack_add_project_file and wetrack_delete_project_folder.

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 guidance on when to use this tool vs. alternatives. It does not mention preconditions, whether a parent folder must already exist, or how it relates to other file/folder operations. Usage is only implied by the tool's 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state the core side effect—creating a sprint—and notes that creation is manual, with an initial status default of 'PLANNED.' However, it does not disclose permissions, validation rules, duplicate handling, or whether the created sprint is returned in the response; the output schema partially relieves that last gap.

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 compact: one purpose sentence followed by a tidy Args block. It contains no filler, and the examples and formats justify the parameter lines, though the parameter names still partially duplicate the schema properties.

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 description fully covers parameter semantics and an output schema exists, so return-value documentation is unnecessary. But it leaves gaps around when manual creation is appropriate, whether the project must already exist, uniqueness expectations for sprint names, and date validation. This is adequate but not complete for an unannotated mutation tool.

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 has 0% description coverage, so the description must fully compensate, and it does. Every parameter is explained with meaning, format examples like 'YYYY-MM-DD' and 'Sprint 3', default values, and the allowed status enum. This adds substantial semantic value over the bare schema titles and types.

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 opens with a specific imperative: 'Create a sprint manually for a project.' This identifies the verb, the resource, and the scope, and the word 'manually' adds an important behavioral qualifier. It also distinguishes the tool from sprint-reading and sprint-editing siblings such as wetrack_list_sprints, wetrack_get_sprint, wetrack_update_sprint, and wetrack_delete_sprint.

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, no mention of when not to use it, and no reference to related tools such as wetrack_update_sprint for existing sprints or wetrack_get_sprint for retrieval. The only usage signal is the verb 'create,' so the agent must infer context on its own.

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?

No annotations are provided, so the description carries the full burden. It only says "Create" and lists parameters; it does not disclose side effects, required permissions, reversibility, response behavior, or what 'legacy' implies operationally. This is thin 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 description is one clear introductory sentence followed by a compact parameter list. Each line adds useful information, and there is 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?

The description covers all 13 parameters with useful semantics and the output schema exists, so return-value documentation is not required. It could be more complete by mentioning how to obtain the IDs or what distinguishes a 'legacy' ticket, but overall it equips an agent to build a correct 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%, and the Args list fills that gap completely. Every parameter gets a meaningful description: UUID for organisation/project, integer IDs, ISO datetime formats, float hours, rich HTML with a 2MB limit, and optionality markers.

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 opens with a specific verb and resource: "Create a legacy support ticket". It explicitly contrasts with EPIC/STORY/TASK/BUG work items, making it easy to distinguish from the sibling tool wetrack_create_work_item.

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 "not an EPIC/STORY/TASK/BUG work item" gives a clear exclusion boundary and implies when this tool is appropriate versus the work-item creation sibling. However, it does not explicitly name the alternative tool or state a full when-to-use/when-not-to-use policy.

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?

With no annotations, the description carries the full burden of disclosing behavior. It only says 'Create a new ticket category,' which implies an additive operation, but it does not mention uniqueness constraints, error conditions, required permissions, idempotency, or side effects. This is too minimal to be behaviorally transparent.

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 with the purpose line, followed by a compact argument list. No filler content appears, though slightly more detail on parameter constraints could improve it without becoming wordy.

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 output schema exists, so return values are covered. But the description leaves missing context for what 'icon' actually accepts, whether name uniqueness is enforced, and any permission or visibility expectations. This is adequate for a basic create operation but not fully 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?

The Args block adds some meaning beyond the minimal schema: it clarifies 'name' with an example, labels description as optional, and specifies that color is a hex value. However, it does not give allowed icon identifiers or a full color format, and it does not label color/icon as optional even though the schema indicates they have null defaults. With 0% schema description coverage, this 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 clearly states the function as 'Create a new ticket category.' This is a specific verb and resource, distinguishing it from sibling tools like wetrack_update_ticket_category, wetrack_get_ticket_category, or wetrack_create_ticket_status.

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. It does not explain when a new category should be created, whether it depends on existing projects or organizations, or how it relates to ticket types, priorities, or statuses.

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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does reveal one meaningful behavior: 'The code is auto-derived from the name.' However, it does not mention side effects, required permissions, duplicate handling, or what happens on success. For a creation operation with zero annotation coverage, this leaves important gaps.

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 compact and well-structured: a one-line purpose statement followed by a clean Args list. There is no fluff, each parameter line adds distinct value, and the key behavior 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?

The description covers all parameters, required fields are clear from the schema, and the output schema can inform the return value. The missing pieces are usage guidance and behavioral caveats such as uniqueness or side effects. For a straightforward create tool, this is largely sufficient but not exhaustive.

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%, but the description fully compensates by explaining all six parameters with meaningful semantics. It provides examples for name ('Blocker', 'Very High'), enumerates allowed values for priority_type and resource, and clarifies description, color, and icon. This is exactly the information an agent needs beyond the raw 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: 'Create a new ticket priority.' It also adds the useful detail that the code is auto-derived from the name, which makes the scope concrete. It does not explicitly differentiate from sibling CRUD tools for ticket priorities, but the action and object are 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 tool versus alternatives like wetrack_update_ticket_priority or wetrack_list_ticket_priorities. There are no exclusions, prerequisites, or context signals that help an agent choose among the priority CRUD siblings. Usage is only implied by the create verb, which is not enough.

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?

No annotations are provided, so the description carries the full behavioral burden. It only says 'Create' and gives parameter examples; it does not disclose side effects, permissions, uniqueness constraints, or whether the operation is reversible.

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 brief and front-loaded with the primary action. The Args section is compact and useful, though it could be slightly more structured; overall it wastes no 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 simple two-parameter create tool with an output schema, the description is minimally viable. It documents the parameters and the core action, but lacks any behavioral or usage context, which is more noticeable because annotations are absent.

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 compensate. It does explain both parameters in plain language, including an example for name ('VTrack Fleet') and noting that description is optional. This adds meaningful semantic value beyond the bare schema titles.

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: 'Create a new ticket product.' This clearly distinguishes it from sibling create tools like create_support_ticket, create_ticket_type, and create_ticket_category.

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 about when to use this tool versus alternatives such as create_support_ticket or create_work_item. There are no exclusions, prerequisites, or context for choosing 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says the tool creates a status but does not disclose side effects, permission requirements, whether the status is global or resource-scoped, or what happens after creation. The parameter list adds useful field semantics but not behavioral 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 description is a one-sentence purpose followed by a compact Args block where every line adds value. It is front-loaded and avoids redundant prose.

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 seven-parameter tool with no annotations and zero schema descriptions, the parameter coverage is strong, and the output schema covers return values. However, the description omits usage context such as whether a status is global or tied to a resource type, and it gives no behavioral or prerequisite information, leaving an agent with open questions before calling.

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 description compensates for all seven parameters with examples, enum-like allowed values, and explanations. However, 'pauses_sla ... default: False' conflicts with the schema's explicit null default, so the added guidance is strong but not fully consistent with 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 first sentence, 'Create a new ticket status', names the exact action and resource. The verb 'Create' distinguishes it from sibling tools such as wetrack_get_ticket_status, wetrack_update_ticket_status, and wetrack_delete_ticket_status without requiring schema inspection.

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, does not mention alternatives, and states no prerequisites. An agent must infer from the tool name that this is for creating new statuses, and nothing clarifies when to choose this over the update or delete variants.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure, but it only restates that this is a creation operation. It does not mention side effects, uniqueness constraints, required permissions, whether duplicates are rejected, or what response to expect. This is a meaningful gap for a mutating tool with no annotation coverage.

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 compact and front-loaded with the core purpose in the first sentence. The Args block is minimal, each line adds real value, and there is no filler or redundant explanation. It is appropriately sized for a simple create operation.

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 description gives enough basic parameter information for a straightforward call, and an output schema exists so return-shape documentation is not required. However, it omits explicit optionality for color and icon, does not explain where valid icon identifiers come from, and lacks any guidance on how this tool relates to other ticket-type tools. It is adequate but has 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 description coverage is 0%, so the description must compensate, and it does by listing every parameter with a helpful type or example: name is demonstrated as 'Bug', color is described as 'Hex color', and icon is called an 'identifier'. It does not explicitly mark color and icon as optional, but the schema defaults carry some of that information. The parameter guidance is useful and mostly sufficient.

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: 'Create a new ticket type.' It clearly distinguishes from list/get/update ticket-type tools by the create verb, and the 'e.g. Bug' example clarifies what kind of entity a ticket type is. This is specific enough for an agent to select it correctly among the large sibling tool set.

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 should be used when creating a ticket type, but it does not explicitly state when not to use it or mention alternatives such as update_ticket_type for modifications. There is no guidance about prerequisites or situations where this tool is inappropriate. The usage context is recognizable but only implicit.

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 description discloses that an invitation email is sent, which is a side effect beyond the schema. However, with no annotations provided, the description carries the full burden of behavioral transparency. It does not mention required permissions, idempotency, behavior if the user already exists, or any other side effects. This is a significant gap for a mutation 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 concise, with a single-sentence summary followed by a clean list of parameter explanations. It is front-loaded with the core purpose and contains no filler. Every line provides value, making it easy for an agent to scan.

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 an output schema, so return value details are covered externally. However, the description does not provide guidance on when to use this tool versus siblings like wetrack_bulk_create_users or wetrack_update_user, nor does it mention any prerequisites such as authentication or admin privileges. For a create operation, it is mostly complete but lacks explicit routing and prerequisite information.

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%, but the description compensates well by providing examples for each parameter (e.g., 'Jane', 'Smith', 'jane@company.com') and enumerating the allowed role values ('ADMIN', 'VITHI_USER', 'EMPLOYEE', or 'CUSTOMER'). This adds meaningful context that the schema lacks, making parameter usage clear.

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 clearly states the action: 'Create a single user account and send an invitation email.' This is a specific verb with a resource, and the word 'single' distinguishes it from bulk creation. The purpose is unambiguous and easily differentiated from siblings like wetrack_bulk_create_users and wetrack_resend_invite.

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 for single-user creation via the word 'single', but it does not explicitly mention when to use wetrack_bulk_create_users for multiple users or when to use wetrack_update_user for modifications. There is no explicit exclusion or alternative routing, leaving the agent to infer the context.

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?

No annotations are provided, so the description carries the full burden. It discloses the mutation and target dashboard, but does not mention permissions, persistence, idempotency, or any side effects beyond adding the widget. This is a meaningful gap for a write 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 description is front-loaded with the purpose sentence and then organized as a readable Args list. The long enumeration lists are necessary because the schema lacks them, so every line contributes information; there is 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 five-parameter creation tool with no annotations and no schema descriptions, the description covers parameter semantics, requiredness, and cross-tool sourcing. It omits behavioral caveats such as auth requirements and exact return behavior, though an output schema exists, so the main gap is the missing behavioral context.

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?

Despite 0% schema description coverage, the Args block fully documents each parameter: title's non-empty rule, metric's allowed enumeration, dimension's allowed enumeration, chart_type's allowed enumeration, and the source/usage for catalog_report_id. This is exemplary compensation for a schema with no 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 opening sentence 'Add a report widget to the current user's dashboard' uses a specific verb and resource, and clarifies scope. It distinguishes this tool from sibling widget-management tools by signaling creation rather than update, deletion, listing, or data retrieval.

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 explicitly name alternatives or state when not to use it. Usage is implied from the creation semantics and the optional catalog_report_id cross-reference, which hints at pairing with wetrack_get_reports_catalog, but there is no direct comparison to wetrack_update_widget or wetrack_list_widgets.

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?

With no annotations provided, the description carries the full burden, and it does a solid job: it discloses that description is required for BUG, story_points required for STORY, end_date must be after start_date, HTML is supported in description, and the first assignee becomes primary. It does not cover permissions or idempotency, but the disclosed behaviors are meaningful and not 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?

The description front-loads the purpose and then uses a tight parameter list where every line adds needed information. For a 15-parameter tool with conditional requirements, the length is justified and there is no 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?

The definition is largely complete for a complex create tool: it covers required fields, type-specific rules, defaults, date ordering, tags, assignees, sprint, and parent linkage. It could also tell the agent where to obtain status_id or project_id, but it already names one lookup source and the output schema exists, so the gap is minor.

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 fully compensate. It explains every parameter with practical semantics: enum-like ticket_type values, where to get priority_id, defaults for status_id, conditional requirements, date ordering, and parent relationships. This is significantly more helpful than the bare input 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 opens with a specific verb and resource: 'Create a new work item — EPIC, STORY, TASK, or BUG.' It clearly distinguishes this from sibling create tools like wetrack_create_support_ticket by naming the exact work-item types it handles.

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: use this when you need to create a new work item. It provides type-specific requirements and defaults, but it never explicitly states when not to use it or names alternatives like wetrack_update_ticket for modifying existing items.

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?

With no annotations, the description carries the behavioral disclosure burden. It adds a useful non-obvious failure condition ('Will fail for system-protected fields') but does not disclose other destructive traits like irreversibility or potential cascading effects on tickets using the field.

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 compact and front-loaded: action, critical caveat, then the single parameter. Every sentence adds value without 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 one-parameter delete operation, the description is nearly complete: it names the target, explains the argument, and warns about protected fields. The output schema covers return values, so the main omission is additional detail on the consequences of deletion.

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 define the parameter. The Args section explains 'field_id' as 'Integer ID of the metadata field to delete,' adding semantic context beyond the bare schema type and title.

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 action and resource: 'Delete a metadata field definition.' This is clear and distinct from metadata field get/list/create/update/toggle siblings, though it does not explicitly name a sibling it is not.

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 when a metadata field definition must be permanently removed, and provides a when-not warning: 'Will fail for system-protected fields.' However, it does not mention alternatives such as toggling a field's status or when to prefer update over 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?

No annotations are provided, so the description carries the behavioral disclosure burden. It explicitly reveals soft-delete semantics, inactivity, and data retention, which is valuable context. However, it does not mention restoration possibilities, permission requirements, or effects on related data such as tickets, files, or sprints.

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 core description is one clear sentence with no unnecessary wording. The Args block is compact and directly tied to the input schema. The most important behavioral fact, soft-deletion and data retention, 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 simple one-parameter delete operation with an output schema present, the description supplies the key input semantics and the primary behavioral consequence. Additional context about authentication, restore paths, or cascading effects would improve completeness but is not essential for basic 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%, so the description must compensate. It defines project_id as 'The project UUID to delete,' adding both a format hint (UUID) and the parameter's role beyond the schema's 'string' type and 'Project Id' title. For a single-parameter tool, this is adequate.

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 'soft-delete' and resource 'project', with a parenthetical clarifying the effect: 'it becomes inactive but data is retained.' This distinguishes it from sibling delete operations like wetrack_delete_sprint or wetrack_delete_project_file, which target different resources.

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 tool versus alternatives. The sibling list contains many project-related tools and other delete operations, but the description does not state when soft-deleting a project is appropriate, what prerequisites exist, or how it differs from other deletion 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?

No annotations are provided, so the description carries the full burden. It discloses that this is a deletion, but it does not say whether the actual file is removed or only the database record, whether deletion is irreversible, what permissions are needed, or what side effects may occur. This is thin for a destructive 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 brief and front-loaded, with the purpose stated first followed by a compact argument list. There is no filler, though it is more of a skeletal docstring than an enriched explanation.

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 two-parameter delete with an output schema, the core invocation information is present: what action to take and which IDs to provide. But without annotations and with no mention of effects, permissions, or how to discover valid IDs, the description is only minimally adequate.

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 has no descriptions, so the description's 'project_id: The project UUID' and 'file_id: The file UUID to delete' adds useful identifier-type meaning beyond the bare schema titles. However, it does not explain how to resolve these IDs or provide constraints beyond being UUIDs.

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 clearly states the action: 'Delete a project file record.' This is a specific verb plus resource and is distinguishable from sibling tools such as wetrack_add_project_file, wetrack_list_project_files, and wetrack_delete_ticket_attachment. It lacks an explicit comparison to siblings, so it does not earn 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 guidance about when to use this tool instead of another deletion tool, how to obtain the required IDs, or what prerequisites apply. The description only states what the tool does, not when to use it or what to verify first.

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?

No annotations are provided, so the description must disclose behavior. It does not mention irreversibility, required permissions, or side effects (e.g., deleting subfolders or files). The destructive nature is implied but not explicit.

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 extremely brief and front-loaded with the action. It wastes no words, but the brevity leaves gaps. It earns a high score for conciseness, though it sacrifices completeness.

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 is a destructive delete operation with no annotations and minimal schema coverage, the description is inadequate. It doesn't mention what happens to contents, reversibility, or required permissions. The output schema exists but the description doesn't hint at what to expect.

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%, so the description must compensate. It simply repeats parameter names (project_id, folder_id) with minimal context (e.g., 'project UUID'), adding little beyond the schema. It doesn't explain how to obtain these IDs or any format constraints.

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 clearly states the action 'Delete a folder from a project' with a specific verb and resource. It distinguishes from siblings like wetrack_delete_project_file and wetrack_create_project_folder, though it doesn't explicitly contrast 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?

The description provides no guidance on when to use this tool versus alternatives, such as deleting a project file or folder creation. It implies a straightforward delete operation but lacks context like prerequisites or consequences.

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?

No annotations are provided, so the description carries the full burden. It discloses a meaningful side effect ('unassign all linked tickets back to backlog'), but it does not state whether deletion is irreversible, whether certain sprint states block deletion, or what permissions are required. This is adequate but incomplete for a destructive 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 description is compact and front-loaded. The first sentence states the core behavior and side effect, and the second sentence documents the parameter. Every word contributes.

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 one-parameter delete operation with an output schema, the description is mostly complete. It explains the main side effect on linked tickets, which is the main non-obvious context. It could mention failure conditions or whether the sprint must exist, but the low complexity keeps the gaps minor.

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%, but the description compensates by identifying sprint_id as a 'sprint UUID' and explaining its purpose ('to delete'). This adds format and role beyond the schema's bare 'Sprint Id' title. For a single-parameter tool, this is sufficient.

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 and resource ('Delete a sprint') and adds a key behavioral distinction: it unassigns all linked tickets back to the backlog. This clearly separates it from get_sprint, list_sprints, create_sprint, and update_sprint.

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 about when to use this tool instead of alternatives such as update_sprint or list_sprints. The description implies deletion usage, but it does not state exclusions, prerequisites, or conditions under which deletion should not be attempted.

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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only restates the operation and does not mention that deletion is likely irreversible, what permissions are required, whether the operation is idempotent, or what side effects might occur.

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 brief and front-loaded with the core purpose, followed by a concise, clearly formatted argument list. Every sentence contributes necessary information without 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?

The two required parameters are explainedaaa88 and an output schema exists, so return values are covered elsewhere. However, given that this is a destructive operation with no annotations, the description could usefully mention irreversibility, permissions, or how to obtain valid attachment IDs.

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's role is important. It does clarify that ticket_id is the ticket UUID and attachment_id is the attachment UUID to delete, adding meaning beyond the bare schema titles. However, it omits details like the relationship between the two IDs or any validation requirements.

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 clearly states the exact action: 'Delete an attachment from a ticket.' It identifies the verb, resource, and object, and it is easily distinguished from sibling tools like wetrack_add_ticket_attachment and wetrack_get_ticket_attachments.

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 about when to use this tool versus alternatives, such as listing attachments first or verifying that the attachment belongs to the ticket. The intended context 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?

No annotations are provided, so the description carries the burden. It explicitly says this is a soft-delete (sets inactive, data retained), which goes beyond the verb 'delete' and clarifies non-destructive behavior. It also mentions failure condition when in use, which is valuable behavioral context. Missing details on permissions or response, but given the tool's simplicity, this is sufficient.

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 to the point: two sentences explaining the behavior and the failure condition, plus a one-line parameter description. No wasted words. The key qualifier 'soft-delete' is front-loaded, and the critical constraint is stated immediately after.

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 one parameter, an output schema, and no annotations, the description covers the necessary context: what the tool does, the failure condition, and parameter semantics. It doesn't state permissions, but for a soft-delete operation that fails safely, this is adequate. The output schema likely describes the response, so no need to explain return values.

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 0% description coverage, so the description must explain the parameter. It does explain 'priority_id' as 'The priority ID to deactivate', which matches the schema property name. It adds minimal extra semantic value (just 'to deactivate'), but that's helpful. Given the parameter is self-explanatory and there's only one, baseline 3 is appropriate.

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 clearly states the action (soft-delete) and the resource (ticket priority), and notes the behavior (sets inactive, data retained). It is distinct from other priority operations like create/update, though it doesn't explicitly name the sibling list/get tools as alternatives, but the verb and soft-delete qualifier are specific 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 implies the tool is for deactivating a priority, and states a critical constraint: it will fail if active tickets use this priority. This guides the agent to check for active tickets before calling, though it doesn't explicitly mention alternatives when priority is in use, but the constraint is clear.

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?

With no annotations provided, the description carries the disclosure burden. It transparently states that the delete is a soft-delete, data is retained, and the operation fails under an active-ticket condition. This goes beyond the tool name, though it does not mention auth requirements, reversibility, or response 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, front-loaded with the essential action, and uses a clean Args section. Every sentence adds value: the soft-delete behavior, the retention guarantee, the failure condition, and the parameter 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?

The tool is simple with one parameter and a single clear action. The description covers the core behavior, side effects, and failure condition, and an output schema is present. It does not discuss authentication or follow-up actions, but the essential context for correct invocation is present.

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 provides only the parameter name 'status_id' with no description, so the description's 'The status ID to deactivate' adds a minimal but useful clarification. It does not explain how to obtain the ID, expected format, or relationship to related ticket-status tools, but it is adequate for a single simple 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?

The description identifies a specific verb ('Soft-delete') and resource ('ticket status'), and clarifies the operation as setting inactive while retaining data. It is clear and unambiguous, though it does not explicitly compare against sibling status tools such as update_ticket_status or list_ticket_statuses.

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 context by noting that soft-delete sets inactive and that the operation will fail if active tickets still use the status. However, it does not explicitly state when to prefer this tool over alternatives or describe preconditions like checking that no active tickets reference the status.

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 are absent, so the description carries the full burden of behavioral disclosure. It says 'Delete' which implies a destructive action, but it does not explicitly state that the action is permanent, irreversible, or that it only affects the current user's view (though 'current user's dashboard' is mentioned). It also does not mention any permission requirements or what happens to associated data. For a mutation tool with no annotations, this is a significant gap.

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 extremely concise: a single sentence for the action and a brief Args block that adds the crucial source of the parameter. There is no filler or redundancy. The action is front-loaded, and every word 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 delete tool with a single parameter, the description covers the essential action and scope. It also includes the source of the widget_id. The presence of an output schema means return values need not be described. However, it could be more complete by explicitly stating that the deletion is permanent and cannot be undone, which is important for a destructive operation. This is a minor gap given the simplicity.

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 describes widget_id as a string but gives no context. The description adds valuable meaning by specifying that the widget_id should come from wetrack_list_widgets, telling the agent where to obtain the correct ID. This goes beyond the schema's generic type definition and helps ensure 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 specific action ('Delete a report widget'), the resource ('report widget'), and the scope ('from the current user's dashboard'). This clearly distinguishes it from sibling tools like wetrack_update_widget or wetrack_create_widget. The verb 'Delete' is unambiguous and the resource is precise.

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 usage scenario (when you want to remove a widget) but does not explicitly state when to use it versus alternatives or when not to use it. It does mention that widget_id comes from wetrack_list_widgets, which is a helpful pointer, but there is no discussion of prerequisites or exclusions. It provides a clear context but lacks explicit guidance on alternative 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?

With no annotations provided, the description carries the full behavioral burden. It clearly discloses the stateful effect: exiting impersonation and restoring the administrator session. It also hints at failure conditions via 'Only works if...', though it does not spell out the exact error behavior when called without an active impersonation.

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 short sentences with no filler. The primary action is front-loaded, and the critical precondition is stated in the second sentence, making it very efficient for an agent to parse.

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 zero-parameter session-control tool with an output schema, the description covers everything an agent needs: what the tool does, what it restores, and when it is valid to call it. No important context is 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?

The tool has zero parameters and the schema is empty, so parameter semantics are not a burden on the description. The baseline of 4 applies because there is nothing for the description to add about arguments.

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 clearly states the verb 'Exit' and the resource ('current impersonation session'), and further specifies that it restores the administrator session. This makes the tool's purpose obvious and distinguishes it from the sibling wetrack_impersonate.

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 an explicit precondition: 'Only works if you previously called wetrack_impersonate.' This tells the agent when the tool is valid and implicitly that it is the counterpart to wetrack_impersonate, so there is no ambiguity about when to use it.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the immediate observable effect (sending a password reset email) but does not disclose authentication requirements, behavior for unknown emails, duplicate-email risks, rate limits, or security considerations. It is not contradictory, but the transparency is thin for a side-effectful action.

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 short sentences plus an Args block, with the main action front-loaded. Every clause adds information and there is no filler or repetition.

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 tool with an output schema, the core invocation details are mostly present. However, because there are no annotations and no explicit sibling routing, the description omits auth/error/rate-limit context and leaves the boundary with password-management tools implicit.

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 only provides 'email' as a required string with 0% schema description coverage. The description compensates by defining it as 'the email address of the user who forgot their password,' which supplies the missing semantic meaning. It does not add format/validation rules, but for a single string parameter this is sufficient.

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 ('trigger') and resource ('password reset email') with an explicit target ('for a user'). The 'forgot their password' qualifier distinguishes it from the change_password and set_password siblings, even though they are not named.

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 intended scenario is implied by 'the user who forgot their password,' but the description gives no explicit when-not-to-use guidance and does not mention alternatives like wetrack_change_password or wetrack_set_password. The agent must infer the boundary between resetting via email and changing/setting a password directly.

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?

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Get details', which implies a read-only operation, but it does not mention authentication requirements, error behavior, response format, or potential side effects. The presence of an output schema is not leveraged in the description. This is a significant gap for a tool with zero annotation coverage.

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 extremely short and front-loaded, which is efficient. However, it is under-specified rather than appropriately concise. Every sentence is present, but the content is minimal. It earns a middle score because it avoids redundancy but lacks necessary 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?

For a tool with one parameter and an output schema, the description is incomplete. It does not mention prerequisites like authentication, does not clarify what 'details' encompass, and does not reference the output schema. The agent would have to infer or inspect the schema to understand the return value. Given the tool's simplicity, this may be acceptable for a basic GET, but the lack of any behavioral or usage context makes it inadequate for robust tool selection.

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 repeats the parameter name and adds minimal clarification ('The client/organisation ID'), but schema coverage is 0%, meaning the description must compensate. It does not provide the format, source, or how to obtain a valid client_id. The added phrase is barely more informative than the property name itself.

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 clearly states the action ('Get details') and the resource ('a specific client organisation'). It is specific and distinguishable from sibling tools like wetrack_get_user or wetrack_get_ticket by explicitly naming the client organisation. However, it does not elaborate on what 'details' include.

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 wetrack_list_organisations or wetrack_get_user. The description only states the action and parameter, leaving the agent to infer that it is used when a client_id is known and detailed information is needed. No exclusions or alternative recommendations are provided.

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?

With no annotations provided, the description carries the burden of explaining behavior. It clearly indicates the tool returns the current user's profile and sidebar permissionsestrategically implies a read-only operation via 'Get', but it does not explicitly state authentication failure behavior or confirm the absence of side effects. The output schema covers return details, so this is adequate but not comprehensive.

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 concise sentences with no filler. It front-loads the core action and resource, then adds a practical use case. Every sentence contributes 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?

Given the zero-parameter input, the presence of an output schema, and the simplicity of the read operation, the description is largely complete. It tells an agent what the tool returns and why it might be used. It could mention authentication prerequisites explicitly, but the phrase 'currently authenticated user' already implies them.

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 has zero parameters)Skip, so the description cannot add much beyond the schema. The 100% schema coverage and absence of parameters make this baseline-4 appropriate; there is no parameter meaning left to clarify.

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'), a precise resource ('currently authenticated user's profile and sidebar permissions'), and is clearly distinguishable from sibling tools like wetrack_get_user or wetrack_list_users. It directly conveys the tool's unique scope without ambiguity.

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 explicitly identifies a clear use case: verifying who is logged in and their role. It does not reference alternative tools or exclusions, but the intended context is readily apparent from the wording.

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?

With no annotations, the description carries the behavioral disclosure burden. It accurately signals a read operation via 'Get' and lists what data will be returned, but it does not explicitly state that the operation is non-mutating, mention auth requirements, or note any data freshness/aggregation caveats.

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 compact and front-loaded: the main purpose and dashboard components appear first, followed by a clean two-line Args section. No redundant or filler phrasing exists.

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 is a read-only dashboard retrieval with a provided output schema, so return-value documentation is already handled. The description covers the dashboard components and both optional scoping parameters. Minor gaps are the lack of explicit alternative routing and absence of a read-only safety statement, which matter more because annotations 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%, so the description must compensate for the bare property definitions. It does, by explaining that project_id scopes the dashboard to a specific project UUID and sprint_id targets the burndown chart. This gives the agent meaning beyond the raw type/nullable details in 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?

Begins with a specific verb and resource, 'Get the aggregated dashboard', and enumerates the exact dashboard sections (KPIs, Team Workload, Status Donut, Project Health, Pending Tickets, Sprint Burndown). This clearly distinguishes it from sibling tools like get_project_stats or get_project_overview by framing it as the umbrella dashboard view.

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 clear context for when to use the tool: when you need an aggregated, multi-section dashboard overview. It also explains how to scope the dashboard with project_id and sprint_id, which is actionable usage guidance, though it does not explicitly name alternatives or exclusion 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?

No annotations are provided, so the description carries the behavioral disclosure burden. 'Get' makes the read-only intent and lookup-by-ID behavior apparent, but it does not describe error behavior for missing/invalid IDs, auth requirements, or whether the returned definition includes all field properties. This is a moderate gap for an otherwise simple getter.

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 and front-loaded: the first sentence captures the purpose, and the second documents the sole parameter. Since the schema has no property descriptions, the Args line is justified and not 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 getter with an output schema, the description provides enough to invoke the tool correctly: the required ID and the returned concept. It omits error behavior and explicit alternative routing, but those are minor for this low-complexity 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?

The description identifies field_id as 'Integer ID of the metadata field,' which adds slightly more context than the schema's bare type and title. However, with 0% schema description coverage, the description only minimally compensates; it does not add format, range, source, or example information beyond what the name already suggests.

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'), a specific resource ('metadata field definition'), and a precise selection criteria ('by ID'). This clearly distinguishes it from siblings like wetrack_list_metadata_fields, wetrack_create_metadata_field, and wetrack_update_metadata_field.

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 makes the usage context clear: use this when you need a single metadata field definition identified by an integer ID. It does not explicitly name alternatives or exclusions, but the 'single... by ID' phrasing provides sufficient context for an agent to select it over list/create/update siblings.

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?

With no annotations, the description carries the full burden and does so thoroughly. It discloses that the tool returns a URL requiring manual browser interaction, that WeTrack sets a session cookie and redirects after login, and that a JWT token must be manually copied and passed to wetrack_set_token. It accurately flags the non-automatable nature of the flow, which is essential behavioral information.

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 well-structured and efficient. It leads with the primary purpose, includes a concise return/behavior description, and then gives a numbered workflow. Every sentence contributes necessary guidance 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?

Given the simplicity (0 params) and that an output schema exists, the description fully covers what an agent needs to know: the tool's purpose, the browser interaction requirement, the cookie/redirect behavior, the workflow, and the alternative for non-SSO accounts. It is complete for correct invocation and interpretation.

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 are zero parameters, so the baseline of 4 applies. The description doesn't need to clarify parameter semantics beyond what the schema shows (an empty object). No additional parameter information is 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 clearly states the function: getting the Microsoft OAuth sign-in URL to start the login flow. It distinguishes itself from wetrack_sign_in (email/password) and wetrack_set_token (using the obtained token) explicitly, so an agent can differentiate it from siblings without opening schemas.

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 provides an explicit numbered workflow and explicitly notes when not to use it: 'Microsoft OAuth requires browser interaction and cannot be automated fully through MCP. Use email/password sign-in for non-SSO accounts via wetrack_sign_in.' It also instructs to call wetrack_set_token with the token, giving clear downstream usage.

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?

No annotations are provided, so the description carries the behavioral disclosure burden. It usefully discloses the report contents, the default to the user's current active sprint, and filter/pagination options. It does not explicitly state that the operation is read-only, but the 'get' name and report framing make harmful side effects unlikely.

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 well-structured: one informative purpose line followed by a compact Args list. Every sentence contributes useful information, and the main idea 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?

Given the output schema exists and all five parameters are documented, the description is mostly sufficient for correct invocation. It could be improved by stating when to choose this over sibling report tools, but nothing essential for calling the tool is 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%, so the Args block carries the semantic weight. It explains each parameter: sprint_id as a Sprint UUID with a default, status_id and priority_id as filters, and page/limit for pagination. This adds meaningful value beyond the bare schema properties, though the filter ID formats are terse.

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 clearly identifies the resource: the current user's My Sprint report, including progress, burndown, distributions, and ticket list. The name and scope make it distinct from other report tools, though it does not explicitly contrast siblings like wetrack_get_my_work_report.

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 for the current user's active sprint, but gives no explicit when-to-use guidance and does not mention alternatives or conditions for choosing a different report tool. An agent must infer usage from the name and context.

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?

No annotations are provided, so the description carries the full burden. It discloses that the tool returns stat cards, status/priority distributions, and a ticket list scoped to the current user, and it mentions filtering and pagination parameters. However, it does not explicitly state that the operation is read-only, whether authentication or impersonation affects results, or any side effects—though this is less critical for a report 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 summary is front-loaded and the Args list is terse and readable, with no filler. Each parameter gets a one-line explanation, which is appropriate for an 8-parameter tool.

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 an 8-parameter report tool with no annotations, the description is mostly adequate for invocation: each parameter has meaning and the return contents are summarized, with an output schema for return details. It falls short on usage guidance and on clarifying parameter relationships/defaults, so an agent must infer when to choose this over sibling report tools.

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 description compensates by documenting all 8 parameters, including allowed enums for date_range ('this_week', 'this_month', 'this_sprint', 'custom'), date format for from_date/to_date, and filter semantics for project/status/priority. It does not clarify how date_range relates to from_date/to_date, but this is a strong compensation for an otherwise bare 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 identifies a specific resource ('Current user's My Work report') and the components returned ('stat cards, status/priority distributions, and a ticket list'), with an explicit scope ('what's assigned to me'). It is clear and implicitly differentiates from sibling report tools like wetrack_get_my_sprint_report, though it does not name 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?

There is no explicit guidance on when to use this tool versus wetrack_get_my_sprint_report, wetrack_get_reports, wetrack_get_dashboard, or wetrack_list_tickets. The phrase 'scoped to what's assigned to me' implies a personal report context, but the description never states when to prefer this tool or what it is not 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that the underlying endpoint is automatic, resolves identity, auto-registers on first login, issues a session, and that this tool specifically avoids calling the endpoint because browser-level interaction with state params is required. This is rich, accurate, and far beyond a minimal description.

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 compact and front-loaded, with the core purpose in the first sentence. Every subsequent sentence adds useful context about the endpoint's behavior and why this tool returns documentation instead of calling it. 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?

Given the tool has no parameters alert and an output schema, the description fully explains what the tool does, why it exists, and what its limitations are. An agent can correctly decide when to call it without needing additional information.

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 has zero parameters and 100% schema description coverage by default, so the baseline is 4. The description reinforces that no parameters are needed by explaining the tool is informational and does not perform a live callback, but it does not explicitly state 'this tool takes no 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 clearly states the verb ('Get information') and the specific resource ('Microsoft OAuth callback endpoint'). It further distinguishes itself by clarifying that it returns documentation about the callback flow rather than invoking the endpoint, which separates it from other OAuth-related tools like wetrack_get_microsoft_signin_url.

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 explains that the endpoint is called automatically by Microsoft after login and that this tool returns documentation rather than performing the callback. This gives clear context for when to use it, though it does not explicitly name alternative tools or state 'use this when you need flow documentation, not when you need to initiate OAuth.' The implication is strong enough to score above average.

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 are completely absent (none provided), so the description must carry the full burden of disclosing behavioral aspects. It only says 'Get full details' which is vague. It does not mention what 'full details' includes, whether the operation is read-only, any required authentication, or what happens if the project_id is invalid or not found. This is a significant gap for a data retrieval 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 description is very short but wastes no words. It is front-loaded with the purpose and includes a minimal parameter listing. However, it is under-specified, but conciseness is fine as there are no redundant sentences. It could be more concise by removing the redundant 'Args:' section that repeats the schema.

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 single parameter but no annotations or output schema documentation. The description does not explain the return value structure, which is a key aspect for an agent to understand what 'full details' means. Given the tool's complexity is low, but the lack of behavioral disclosure and return format info makes it incomplete for effective use.

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 input schema provides no additional description for the parameter. The description only repeats the parameter name 'project_id: The project UUID.' It does not explain the format of the UUID, how to obtain it, or any constraints. The description adds almost no value beyond the schema itself.

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 full details of a single project') and distinguishes from siblings that list projects or get related data. It is specific enough to be understood, though it does not explicitly differentiate from other 'get project' variants like wetrack_get_project_overview, but it is generally 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?

There is no guidance on when to use this tool versus alternatives. The description does not mention that it is for retrieving full details when a project ID is known, or that listing tools should be used for discovery. No exclusions or alternatives 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?

No annotations are present, so the description carries the full burden. It clearly implies a read-only operation via 'Get' and describes the included analytics categories. However, it does not explicitly state that it has no side effects, whether authentication is required, or any other behavioral caveats.

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 concise and front-loaded: the main purpose appears in the first line, followed by a compact list of what is included and a one-line parameter definition. Every sentence earns its place with no 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?

For a simple read operation, the required invocation information is present: the tool's purpose, included data categories, and the single required parameter as a UUID. The output schema covers return structure. The main gap is the lack of differentiation from overlapping sibling tools, which prevents an agent from confidently selecting this tool over them.

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 compensate. It does so by defining project_id as 'The project UUID', which adds semantic meaning beyond the bare string type in the schema. For a single parameter, this is sufficient, though it could include more format or source guidance.

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 opens with a specific verb and resource: 'Get the complete overview dashboard analytics for a project' and lists concrete contents (KPIs, ticket distributions, team stats, progress). It is clear, but it does not explicitly distinguish itself from overlapping siblings like wetrack_get_project, wetrack_get_project_stats, wetrack_get_project_reports, or wetrack_get_dashboard.

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 many closely related sibling tools. No alternatives, exclusions, or decision criteria are provided, so an agent cannot tell whether to call this instead of get_project_stats, get_project_reports, or get_dashboard.

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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that sprint_id scopes stats to a specific sprint, which is useful, but it does not disclose whether the operation is read-only or has side effects, what the response format is (though output schema exists), or any rate limits or caching. The description is minimal and does not add significant behavioral context beyond the basic parameters.

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 to the point, with the argument list included. However, it is not optimally structured: the purpose is stated in one sentence, and the Args section duplicates parameter information without adding much semantic depth. It is concise but could be more effective with a clearer main description and less repetitive parameter listing.

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 moderate complexity (a reporting tool with an optional sprint filter) and the lack of annotations, the description is insufficient. The output schema exists, so return values are somewhat defined, but the description does not explain what 'comprehensive reports' contain, what analytics are included, or how the sprint_id affects the output. An agent would need to inspect the output schema or make assumptions. There is also no mention of related tools for comparison.

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's property names ('project_id', 'sprint_id') are self-explanatory but lack descriptions. The tool description adds some value by explaining the sprint_id scoping, but it does not clarify the format of project_id (UUID is mentioned) or any constraints on sprint_id. It does not compensate for the lack of schema descriptions, especially since there is no guidance on what constitutes valid values.

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 the tool gets 'comprehensive reports and analytics for a project,' which is clear about the verb and resource. It distinguishes it from sibling tools like wetrack_get_project and wetrack_get_project_stats, though not explicitly naming them. The purpose is specific enough for an agent to understand the general function, but it could be more explicit about what 'reports' include.

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 provides no guidance on when to use this tool versus alternatives like wetrack_get_project_stats, wetrack_get_project_overview, or wetrack_get_reports. With many similar reporting tools among siblings, the lack of differentiation means an agent might struggle to choose correctly. No context on prerequisites or typical scenarios is 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?

With no annotations, the description carries the burden of disclosing behavior. It conveys a read-only retrieval action and mentions the included statistics/progress metrics, but it does not mention pagination, auth requirements, limitations, or any other behavioral traits beyond the basic 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 extremely concise, front-loads the purpose, and includes only the necessary argument detail. Every sentence earns its place with no redundancy or 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?

For a low-complexity tool with a single required parameter and an output schema, the description is largely complete. It could be improved by clarifying how this relates to sibling sprint tools, but the core invocation context is provided.

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 only defines project_id as a string, so the description's 'The project UUID' adds meaningful format semantics. Even though schema description coverage is 0%, the description adequately compensates for the single 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?

The description clearly states a specific verb ('Get') and resource ('all sprints for a project') and adds useful detail about including statistics and progress metrics. It does not explicitly differentiate itself from sibling tools like wetrack_list_sprints or wetrack_get_sprint, but the project-scoped wording makes the purpose reasonably distinct.

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 this tool: when you need all sprints for a specific project along with stats and progress metrics. However, it offers no explicit guidance about when not to use it or how it compares to alternatives such as wetrack_list_sprints or wetrack_get_sprint.

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?

There are no annotations, so the description is the only signal about side effects, authentication, or scope. It conveys a read-only retrieval ('Get') and specifies the returned categories, which is transparent for a simple stats endpoint, but it omits any mention of authentication requirements, data scope, or whether the statistics are real-time. It does not contradict anything.

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 short headline plus two labeled argument lines; there is no filler or tautology. It is front-loaded with the result summary and every sentence 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?

With only two optional, self-explanatory parameters and an output schema present, the description covers the invocation essentials. It is still somewhat thin on scope and on how this relates to the broader dashboard/report sibling tools, but that is a usage-guidance gap rather than a blocking completeness 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 input schema contains no property descriptions (0% coverage), but the description documents both parameters with their semantics and defaults: top_limit controls the number of top projects and deadlines_limit controls the number of upcoming deadlines. This fully compensates for the schema 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 uses a specific verb ('Get') and names the resource ('dashboard statistics') while enumerating the concrete outputs: summary totals, top projects by progress, and upcoming deadlines. It is clear about what the tool does, but it does not explicitly distinguish it from sibling dashboard/report tools such as wetrack_get_dashboard or wetrack_get_project_overview.

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 about when to prefer this tool over alternatives like wetrack_get_dashboard or wetrack_get_reports, and there are no exclusion criteria. The reader must infer from the name and summary that this is the dashboard-stats entry point.

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?

No annotations are provided, so the description carries the behavioral disclosure burden. It makes the read-only nature clear via 'Get' and usefully reveals that membership is not stored separately but derived from ticket assignees, which is a non-obvious behavioral trait. It does not discuss authentication or edge cases, but for a simple list retrieval 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 short and front-loaded: the core purpose is in the first sentence, the return shape follows immediately, and the parameter is documented separately. Every sentence contributes useful information without repetition or fluff.

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 one-parameter getter with an output schema, the description supplies everything needed to invoke it correctly: purpose, data source, return object fields, and parameter format. Nothing critical is missing for an agent to select and call the tool.

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 gives only `project_id` as a string with title 'Project Id,' so schem coverage is effectively 0%. The description compensates by specifying that the parameter is 'The project UUID,' adding format semantics absent from the schema. For a single required parameter, this is sufficient.

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 all team members mapped to a project.' It also adds a clarifying qualifier ('derived from ticket assignees') that separates it from get_project, list_users, and other project/user getters. The tool's purpose is immediately distinguishable from its siblings.

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 clear context for when to call it: retrieving the team member set for a given project. It does not explicitly name alternatives or state when not to use it, but the narrow getter purpose, combined with the sibling list, makes the intended use obvious enough.

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?

There are no annotations, so the description carries the full burden. It clearly indicates a read-only operation ('Get') scoped to the authenticated user, but it does not define what 'recently accessed' means, how recency is determined, or whether any access-tracking side effects occur. Adequate for a simple getter, but not rich.

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 compact sentences with a front-loaded purpose statement followed by a clear parameter block. No filler or redundant 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 tool with one optional parameter, no annotations, and an output schema present, the description covers the purpose and parameter behavior sufficiently. It is slightly thin on how 'recently accessed' is determined and how this differs from listing all projects, but an agent can still 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 input schema only provides the parameter name and default, while the description adds the meaning ('Max projects to return'), the valid range (1-10), and confirms the default (4). This fully compensates for the 0% schema description 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 uses a specific verb ('Get') and a precise resource ('most recently accessed projects for the authenticated user'). The scope and recency qualifier clearly distinguish it from sibling tools like wetrack_list_projects or wetrack_get_project.

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 use case: retrieving a user's recent projects. However, it does not explicitly say when to prefer this over wetrack_list_projects or otherwise name alternatives, so the agent must infer the selection criteria from the resource wording 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?

With no annotations provided, the description must carry the full behavioral disclosure burden. It describes what data is included but omits key behaviors: whether it's read-only, how filters combine, pagination semantics, data freshness, or any side effects. The 'scoped dynamically' phrase is vague and unhelpful.

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 efficiently structured: a one-line purpose statement followed by a clean, alphabetized list of parameters with terse explanations. Everything earns its place, with no redundant 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?

Given 10 optional parameters and an output schema, the description enumerates parameters well but lacks guidance on when to use the tool (vs. siblings), any prerequisites (e.g., authentication), or how filters interact. The existence of an output schema covers return values, so the remaining gaps are in usage context and behavioral detail.

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 has zero descriptions (0% coverage), and the description provides clear, actionable semantics for every parameter. It explains the role of each filter (e.g., 'project_id: Filter by project UUID'), lists valid values for burndown_range, and specifies date formats. This fully compensates for the schema 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 clearly states it is a 'Unified Reports Dashboard' and lists the contents (stat cards, distributions, burndown, summary table), giving a precise purpose. However, it does not differentiate from sibling reporting tools like wetrack_get_dashboard or wetrack_get_project_reports, so it's not fully distinct.

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 this is for a comprehensive/unified report, but it does not explicitly state when to use this tool over alternatives, nor any exclusions or prerequisites. Usage context is only implied, not 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?

No annotations are present, so the description carries the burden. It transparently states role-based scoping and the output fields (dataSource, metric/dimension/chartType defaults), and the verbs 'List'/'Shows' imply a read-only operation. It does not discuss pagination, errors, or auth, but for a zero-parameter catalog these are minor gaps.

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 core behavior and immediately followed by the return-value details. No filler, repeated information, or redundant phrasing.

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 an empty input schema and an output schema present, the description covers what the tool does and what it returns. It is complete enough for an agent to invoke correctly, though explicit sibling differentiation would strengthen it further.

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 is empty (0 parameters), so there are no parameter meanings to document. The description adds no parameter detail, which is unnecessary here; baseline for zero-parameter tools is 4.

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 opens with a specific verb ('List') and a bounded resource ('every report available to the current user's role'), then enumerates the exact fields returned (dataSource type, default metric/dimension/chartType). This makes it distinguishable from sibling report tools like wetrack_get_reports by framing it as a widget-creation catalog rather than a report-data fetch.

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 a clear use-case signal ('to use when creating a widget'), but it never names alternatives or says when not to use this tool vs wetrack_get_reports/wetrack_get_project_reports. The guidance is therefore implied rather than explicit, leaving sibling selection to inference.

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?

With no annotations provided, the description carries the full behavioral disclosure burden. It only says 'Get full details', implying a read operation, but does not disclose authentication needs, error behavior, or any other operational traits.

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 compact and front-loaded: a single clear purpose sentence followed by a minimal parameter explanation. There is no filler or redundant elaboration.

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 get-by-id tool with an output schema, this is nearly adequate. However, it lacks any usage guidance relative to sibling sprint tools and provides no behavioral context such as permissions or not-found 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 0%, so the description must compensate. The Args section says 'sprint_id: The sprint UUID', which adds meaning beyond the schema's generic 'Sprint Id' string by specifying the expected 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 description states a specific verb ('get'), a specific resource ('sprint'), and a clear scope ('single sprint', 'full details'). This clearly distinguishes it from list-style sprint tools like wetrack_list_sprints and wetrack_get_project_sprints.

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