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 doesn't disclose whether completion is reversible, whether it triggers side effects (notifications, timestamps), what happens if the task is already completed, or what error conditions exist.

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?

Very short and front-loaded, though the 'Args:' formatting is a code-doc artifact rather than conversational prose. No wasted words.

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

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

A mutation tool with no annotations, no output schema, and no side-effect disclosure. The description should at least describe state transitions or idempotency for an agent to call it safely.

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 there is only one parameter with an obvious name (task_id). The description restates that it's the ID of the task to complete, which is marginally helpful but adds little beyond the schema's property name. With a single obvious param, baseline is near 3.

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

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

States a clear verb (mark as completed) and resource (task), distinguishing it from siblings like update_task or delete_task. Slightly weaker than a 5 because 'completed' vs 'done' state terminology isn't elaborated.

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

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

No guidance on when to use this versus update_task, which could presumably also change status. No prerequisites or context 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?

No annotations are provided, so the description carries full behavioral burden. It says a task is created, but does not disclose side effects, required permissions, persistence behavior, return value, or what happens on invalid input.

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 action and then structured as an Args list. It is reasonably concise, though the Args block could be tighter and includes some self-evident labels.

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 purpose and all parameters, which is adequate for a simple create tool. However, with no annotations and no output schema, it omits behavioral context such as permissions, side effects, and whether the created task or its ID is returned.

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 all five parameters. It documents required title, meaning of description, allowed priority values, due_date format, and tags format, adding meaningful semantics beyond the 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 states a specific verb and resource: 'Create a new task.' This clearly distinguishes it from CRUD siblings like update_task, delete_task, and complete_task, but it does not explicitly call out the distinction or alternative tools.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no conditions for choosing create_task over update_task or other siblings. It only states what the tool does.

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 disclosure burden for a destructive operation, and it fails to meet it. It never states whether deletion is permanent or reversible, whether it cascades to subtasks/comments, what permissions are required, or how failures manifest. Only the verb "delete" hints at a write/mutation.

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 text is short and the action is front-loaded, and the Args block is a conventional docstring pattern. But its brevity reflects under-specification rather than disciplined conciseness, since the content contains almost no information an agent could not get from the tool name.

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

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

For a destructive single-parameter tool with no annotations, no output schema, and 0% schema description coverage, the description is insufficient. It omits reversibility, side effects, and permission requirements, which are exactly the details an agent needs before invoking a delete.

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 only restates the parameter name as "ID of the task to delete," adding no type, format, or sourcing guidance beyond the schema's title. A single param at zero coverage demands more than a name echo.

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?

"Delete a task" names a specific verb and resource, so the core action is unambiguous. However, it adds nothing beyond the tool name delete_task and gives no scope detail (permanent vs. soft delete, cascade behavior), and it does not distinguish itself from siblings like complete_task or update_task. Minimally viable but thin.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as complete_task (which may be the correct action when work is finished rather than abandoned). The agent must infer everything from the name alone.

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

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose what happens when the task ID does not exist, whether authentication or workspace scoping is required, or what the return payload contains. For a read tool with zero annotation coverage, 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 short and front-loaded with the core action, and the Args block maps cleanly to the single parameter. It is minimally wasteful, though the docstring-style Args block adds little for a one-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?

With no output schema and no annotations, the description should explain what a successful retrieval returns and how failures surface, but it says nothing about either. For a lookup tool this leaves material gaps for an agent that must decide whether to call it and how to interpret the result.

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 'The ID of the task to retrieve' is the only semantic guidance for task_id, which is better than nothing. However, it does not clarify the ID format, whether it is a numeric internal ID versus a human-readable key, or where the caller obtains valid IDs.

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

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

The description states a clear verb and resource: 'Get a specific task by ID.' It is distinguishable from create/update/delete/complete by the read nature of the operation, but it does not differentiate itself from get_task_summary or clarify how it differs from list_tasks.

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

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

There is no explicit guidance on when to use this tool versus get_task_summary or list_tasks. The 'by ID' phrasing weakly implies it is for fetching one known task, but the agent is left to infer this from the sibling names 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 implies a read operation via 'Get' but does not state what statistics are returned, whether the operation is read-only, what scope 'all tasks' covers, or any auth or rate-limit 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 a single, front-loaded sentence with no wasted words. It is appropriately sized for a simple no-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?

With no annotations and no output schema, the description should explain return values or at least what summary statistics are computed. It only says 'summary statistics for all tasks', which is too vague for an agent to know what to expect or how to use the result.

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, so the baseline score is 4. There are no parameters for the description to add meaning to, and the schema is empty.

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) and resource (summary statistics for all tasks), clearly distinguishing it from siblings like get_task or list_tasks. However, it does not explicitly contrast itself with list_tasks or explain what 'summary statistics' includes, leaving some 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?

There is no guidance on when to use this tool versus list_tasks or get_task. The description only states what it does, with no alternatives or exclusions mentioned.

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

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

With no annotations at all, the description carries the full behavioral burden and largely drops it: nothing is said about pagination, result ordering, result-size limits, or required permissions. For a list tool that can return 'all tasks', the absence of any pagination or volume disclosure is a real 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?

Purpose is front-loaded in the first line and the two parameters are listed compactly with no filler. The 'Args:' block is slightly boilerplate but earns its place by supplying enum values absent from 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?

There is no output schema, no annotations, and only two bare-typed parameters, so the description is the only source of behavioral detail — yet it says nothing about the shape of results, pagination, or ordering. It is adequate for selecting the tool but incomplete for invoking it correctly at scale.

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

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

Schema coverage is 0% and the schema defines no enums, but the description compensates by naming both parameters and enumerating their allowed values (pending/in_progress/completed/cancelled, low/medium/high/urgent). It omits default/null behavior and whether filters combine with AND semantics, keeping it below a 5.

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 ('List all tasks') and adds a scope modifier ('with optional filtering'), so the agent knows exactly what the tool returns. It does not, however, distinguish itself from siblings like get_task_summary or get_task, so it stops short of a 5.

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

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

Calling the filters 'optional' implies the tool can be invoked bare to fetch everything or narrowed with status/priority, which is usable implied guidance. There is no statement of when to prefer this over get_task_summary or get_task, and no exclusions or prerequisites.

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

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

No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about whether omitted fields are preserved or cleared (the schema's single required field implies partial update, but this is never stated), what happens if task_id is invalid, or whether the operation is idempotent. For a mutation tool with zero annotation coverage this is a substantial 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 purpose line is front-loaded and the per-argument list is efficient and scannable. The repeated 'New X for the task' phrasing on title/description is slightly redundant but costs little.

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

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

With no output schema and no annotations, the description should say more about the return value and about partial-update semantics for a 7-parameter mutation tool. The parameter documentation is solid, but the behavioral envelope an agent must know to call it safely is left 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?

Schema description coverage is 0%, but the description compensates well: it supplies the enumerated values for priority (low, medium, high, urgent) and status (pending, in_progress, completed, cancelled) and the YYYY-MM-DD date format and comma-separated tag format, none of which appear in the bare schema. It falls short of explaining whether tags replace or append to existing tags.

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 ('Update') and resource ('an existing task'), so the operation is unambiguous. It does not, however, distinguish itself from the overlapping sibling 'complete_task' (which also changes status), leaving that routing decision to the caller.

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

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

There is no guidance on when to use this versus its siblings, and no mention that 'complete_task' is the dedicated path for finishing a task or that this tool should be used for partial edits. The reader must infer usage entirely from the tool name.

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