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LLM Pricing

get_telemetry

Get MCP server telemetry and usage statistics including tool usage, response times, and error rates

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum items per category (default: 10, max: 50)
include_detailsNoInclude detailed statistics (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The naming and verb strongly imply a read-only stats fetch, and enumerating the tracked dimensions (tool usage, response times, error rates) adds real context, but there is no disclosure of scope, auth requirements, or whether the data is live vs. aggregated. Adequate but thin 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.

Conciseness5/5

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

A single sentence, front-loaded with the verb and resource followed by the content areas. No filler, no repetition of the title or schema.

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

Completeness4/5

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

With no output schema, the description partly compensates by naming the statistic categories returned, and both parameters are fully specified in the schema. It stops short of describing the shape or grouping of results (the 'per category' limit suggests aggregation the description never explains), which is a minor remaining gap.

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?

Schema description coverage is 100%: both 'limit' (default/max) and 'include_details' are fully documented in the schema, and the description adds nothing about either. The baseline of 3 is appropriate when the schema does all the work.

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 ('Get') and resource ('MCP server telemetry and usage statistics') and enumerates the three content areas covered (tool usage, response times, error rates). However, it offers no differentiation from close siblings such as get_performance_metrics, get_cache_stats, or get_usage_summary, so an agent cannot tell from the description which telemetry source to pick.

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?

The description contains no when-to-use statement, no prerequisites, and no named alternatives. With siblings like get_performance_metrics and get_usage_summary in the same family, the absence of any routing guidance leaves selection entirely to inference from the name.

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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