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1sarthakbhardwaj

Labellerr MCP Server

query_project_statistics

Retrieve comprehensive statistics for a specific project using its project ID. Access key metrics and insights to monitor annotation progress and performance.

Instructions

Get detailed statistics for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project
Behavior2/5

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

With no annotations and no output schema, the description must disclose behavioral details, but it only says 'get' (implying read-only) and 'detailed statistics' without explaining what is returned, pagination, or any side effects. This is a significant transparency gap for a tool with no structured documentation.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no filler or redundant information. It efficiently communicates the core action, though it sacrifices detail.

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

Completeness2/5

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

Given the absence of an output schema and annotations, the description should explain the return format or extent of the statistics. It does not, nor does it clarify how this tool relates to the several similar query/monitor siblings, making it incomplete for reliable tool selection and result interpretation.

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

Parameters3/5

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

The input schema provides 100% coverage for the sole parameter project_id, so the baseline is 3. The description does not add any additional meaning to the parameter beyond what the schema already states; it simply repeats 'project' context.

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

Purpose4/5

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

The description clearly states the tool's action ('Get') and resource ('detailed statistics for a project'), which distinguishes it from the sibling project_get (which likely returns project configuration) and monitor_project_progress (which tracks progress). However, it doesn't specify what 'statistics' entails (e.g., usage, export counts, performance), 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.

Usage Guidelines2/5

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 versus alternatives such as monitor_project_progress or query_dataset_info. The description gives no context for tool selection or exclusions, leaving the agent to infer usage.

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

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