Skip to main content
Glama

suite_telemetria_stats

Retrieve adoption statistics, PyPI download counts, GitHub community data and local suite metrics to track usage of the legal toolkit.

Instructions

Consulta estadísticas de adopción, descargas en PyPI, comunidad GitHub y métricas locales de la suite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.5.1

TDQS

B3/5.0
Behavior2/5

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

No annotations, so the description carries the full burden. It implies a read-only aggregation but doesn't state whether it hits external APIs (PyPI, GitHub) that may need auth, whether results are cached, or rate-limit behavior. For a multi-source telemetry tool this 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.

Conciseness4/5

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

A single focused sentence enumerating the metrics categories. Efficient, though the enumeration is a bit list-like rather than front-loading the most important scope.

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?

For a tool aggregating from external sources (PyPI, GitHub) plus local metrics with no output schema and no annotations, the description should note source behavior, latency, or what the returned metrics look like. It leaves the agent without enough to call confidently.

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

Parameters4/5

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

Zero parameters, so baseline is 4. Nothing to document; description doesn't need to add parameter detail.

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?

States a specific verb ('Consulta') and enumerates the resources: adoption stats, PyPI downloads, GitHub community, and local suite metrics. It's clearly a read/stats tool, distinct from neighbors like suite_auto_update or suite_verificar_actualizacion, though it doesn't explicitly name those alternatives.

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 on when to use this vs suite_verificar_actualizacion or suite_auto_update, nor any prerequisites. The agent must infer usage purely from the resource list.

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