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Kirachon

Context Engine MCP Server

by Kirachon

get_review_telemetry

Retrieve detailed telemetry data for code review sessions, including token usage statistics, cache performance metrics, execution timing per step, and active configuration details.

Instructions

Get detailed telemetry data for a review session.

Returns:

  • Token usage statistics

  • Cache hit/miss rates

  • Execution timing per step

  • Reactive configuration in use

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesThe session ID to get telemetry for
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It lists return data types but does not disclose behavioral traits like whether it requires specific permissions, if it's read-only or has side effects, rate limits, or error handling for invalid session IDs, leaving significant gaps for a tool with no 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?

The description is appropriately sized and front-loaded, starting with the core purpose in the first sentence and efficiently listing return data in bullet points. Every sentence earns its place without redundancy or unnecessary detail.

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

Completeness3/5

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

Given the tool's complexity (single parameter, no output schema, no annotations), the description is partially complete: it specifies the purpose and return data but lacks behavioral context and usage guidelines. It is adequate as a minimum viable description but has clear gaps in transparency and guidance.

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 has 100% description coverage, with the parameter 'session_id' clearly documented. The description does not add meaning beyond the schema, as it does not explain the format or source of session IDs, but the high schema coverage justifies the baseline score of 3.

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

Purpose5/5

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

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('detailed telemetry data for a review session'), and distinguishes it from siblings like 'get_review_status' or 'view_progress' by focusing on telemetry metrics rather than status or progress tracking.

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as requiring an active or completed review session, or compare it to siblings like 'get_review_status' for different types of session data.

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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