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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only mentions priority constraints and says 'Create a new task', but does not disclose return values, required permissions, side effects, or failure modes. This is a significant gap 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 concise, two sentences, with no filler. It leads with the verb and resource, and the second sentence adds the priority enum. 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?

With 6 parameters, no output schema, and no annotations, the description is insufficient. It does not explain return values, due_date format, tag behavior, or error conditions. An agent would have to guess at important invocation details, making the description inadequate for correct tool 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%, so the description must compensate. It only documents the valid values for 'priority', but does not explain the format or semantics of 'due_date', 'tags', or the required fields. The parameter names are self-explanatory but the description adds little beyond what the schema already provides.

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

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

The description uses the specific verb 'Create' with the resource 'task', clearly indicating the action. The sibling tools are all different operations (update, get, list, search, overdue), so there is no ambiguity. It also provides valid priority values, adding specificity beyond the schema.

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

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

The usage is implied by the verb 'create' and the resource 'task' — an agent would understand to use this when creating a new task. However, there is no explicit guidance on when not to use it or how it relates to sibling tools, though none of the siblings perform creation.

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. It states the basic read operation but does not disclose behavior such as scope (all users or current user), sorting, pagination, or permissions. The description is minimal and lacks context beyond the core functionality.

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, clear sentence with no wasted words. It is front-loaded with the action and includes the exact filtering criteria, making it highly concise and structured.

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 read tool, the description covers the basic action, but it omits context about the scope of 'all tasks' and what the return format might be. Since there is no output schema and no annotations, some ambiguity remains, though the description is not severely incomplete.

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 description fully captures what is needed. There is no additional parameter information to provide, so the baseline score of 4 applies.

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 'Get all tasks that are past their due date and not completed' with a specific verb and resource, and the scope is well-defined. This distinguishes it from siblings such as list_tasks_by_user (user-filtered) and search_tasks (broad search).

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 is implied by the description: use this tool when you need overdue tasks. However, there is no explicit guidance on when not to use it or how it compares to alternatives like list_tasks_by_user or search_tasks.

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 full responsibility for behavioral disclosure. It only states what the tool does, not read-only behavior, potential errors (e.g., task not found), side effects, or return format. The lack of detail is significant for a tool that lacks any 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 a single, clear sentence with no filler. It front-loads the core function and 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?

Despite the tool's simplicity, the description lacks essential context: it does not mention what constitutes 'detailed information,' whether a missing task triggers an error, or any usage context relative to sibling tools. Given no output schema, the description should at least hint at the return value, which it does not.

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

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

Schema description coverage is 0%, so the description must compensate for parameter explanations. The description adds no information about task_id format, source, or constraints beyond the schema's bare type declaration. The parameter name is self-explanatory but the description contributes nothing additional.

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 'Get detailed information about a specific task' clearly specifies a single-task retrieval operation with a specific resource ('task') and scope ('specific task'). This distinguishes it from sibling tools like list_tasks_by_user, which implies bulk listing, and search_tasks, which implies broader discovery.

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

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

No guidance is provided on when to use this tool as opposed to alternatives such as search_tasks or list_tasks_by_user. There are no explicit use-case scenarios, prerequisites, or exclusions, leaving the agent to infer usage based only on the name.

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

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

No annotations are provided, so the description carries the full burden. It implies a read operation via 'List', but does not disclose pagination, ordering, permission requirements, or any side effects. 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?

A single, well-structured sentence that is front-loaded and contains no unnecessary words. Every part 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 2-param tool with no output schema or annotations, the description covers the core purpose and parameters but omits return format, pagination, sorting, and any distinction from sibling tools like search_tasks. It's adequate but not complete for an agent needing full 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?

The description adds meaning to both parameters: user_id is the assignee, and status_filter is an optional filter. Since schema coverage is 0%, this is valuable. However, it doesn't specify allowed status values or formats, but that may be acceptable given the generic nature.

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 'List' with a clear resource ('tasks') and scope ('assigned to a specific user'), plus an optional filter. It distinguishes from siblings like get_task_details (single task) and get_overdue_tasks (overdue-only).

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 clearly implies when to use the tool: when you need all tasks assigned to a specific user, optionally filtered by status. However, it doesn't explicitly contrast with sibling alternatives like search_tasks or get_overdue_tasks, so it lacks explicit exclusions.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does not mention matching behavior (exact vs. fuzzy), case sensitivity, result format, pagination, or the scope of tasks searched, leaving significant ambiguity for a tool with no output 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 is a single focused sentence with no unnecessary words, directly and efficiently stating the tool's purpose 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 tool with no annotations, no output schema, and sparse parameter documentation, the description lacks essential behavioral details such as return structure, matching semantics, and whether results are limited by user or workspace. It explains what is searched but not what the caller receives, making it incomplete for reliable agent 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?

The schema provides only the parameter name and type with no description. The description clarifies that the query is matched against title, description, or tags, adding essential meaning. However, it does not specify details like whether the query can contain multiple terms or how matching is performed, so it is adequate but not exhaustive.

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 tool searches tasks and specifies the search criteria (title, description, or tags), making its purpose specific and distinguishable from sibling tools like list_tasks_by_user or get_overdue_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?

The description implies usage for keyword-based searching but does not explicitly compare with sibling tools or state when to prefer this over alternatives. It provides no exclusions or contextual guidance, leaving the agent to infer when this tool 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 provided, so the description carries the transparency burden. It discloses the valid statuses, which is useful behavioral context, but it does not mention permissions, side effects, or return behavior. This is a partial disclosure for a mutation tool.

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

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

The description is a single sentence plus a list of statuses. It is concise, front-loaded, and contains no filler. 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 mutation tool with only two parameters, the description covers the core purpose and allowed statuses. However, there is no output schema, and the description does not explain return values, error handling, or preconditions. 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?

The input schema has 0% description coverage and no enums. The description compensates by enumerating valid statuses for the 'status' parameter, but it does not describe 'task_id' beyond its name. This adds meaningful value for one parameter but leaves the other under-specified.

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 ('Update task status') with a specific verb and resource. It also lists valid statuses, which adds precision. This distinguishes it from sibling tools like create_task and list_tasks_by_user.

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 (updating status on an existing task) but provides no explicit guidance on when to use this tool versus alternatives. There are no exclusions or alternative suggestions, though the sibling tools are clearly different operations.

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