getProjectStatistics

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 mentions 'comprehensive statistics' but doesn't specify what 'comprehensive' entails, such as whether it includes historical data, real-time updates, or aggregated metrics. It also fails to disclose potential limitations like rate limits, authentication requirements, or data freshness, which are critical for a read operation in a project management 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 single, efficient sentence that front-loads the core purpose ('Get comprehensive statistics for a project') and includes specific details ('completion rates and string counts'). There is no redundant or unnecessary information, making it highly concise and well-structured for quick understanding.

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 read operation with one parameter) and no output schema, the description is minimally complete. It specifies what statistics are retrieved but lacks details on output format, such as whether it returns JSON with specific fields or aggregated summaries. With no annotations to supplement, it should ideally include more behavioral context to be fully helpful for an AI agent.

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

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

The input schema has 100% description coverage, with 'projectSlug' clearly documented as 'The slug of the project'. The description adds no additional parameter semantics beyond this, such as format examples or constraints. Since the schema already provides adequate parameter information, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.

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') and resource ('comprehensive statistics for a project'), specifying what statistics are included ('completion rates and string counts'). It distinguishes from some siblings like 'getProjectDashboard' or 'getProjectChanges' by focusing on statistical metrics rather than dashboard views or change logs. However, it doesn't explicitly differentiate from 'getComponentStatistics' or 'getLanguageStatistics', which might provide similar statistics for different scopes.

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. It doesn't mention prerequisites, such as needing an existing project, or compare it to siblings like 'getProjectDashboard' (which might include statistics) or 'getComponentStatistics' (for component-level stats). Without this context, users must infer usage from the tool name alone.

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