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analizar_fugas_memoria_y_logs

Reads game engine console logs, synthesizing null pointer exceptions, warnings, and performance metrics to pinpoint memory leaks and runtime errors.

Instructions

Lee los últimos logs de consola y los sintetiza automáticamente extraendo NullPointerExceptions, Warnings y métricas de rendimiento.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxErrorsNoNúmero máximo de errores a extraer (por defecto 10).
logFilePathYesRuta al log del motor.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

B3.1/5.0
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. It communicates a read-only intent through 'Lee' and 'sintetiza', but it does not disclose output format, any side effects, or how 'latest logs' is determined. It also omits the memory-leak behavior implied by the tool name.

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?

The description is a single efficient sentence that front-loads the action and lists the extracted results. The typo 'extraendo' and the vague 'últimos' are minor, but overall there is no wasted content.

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?

There is no output schema, so the description must convey what the tool returns; it does list NPEs, warnings, and performance metrics, which helps. However, the tool name promises 'fugas_memoria' analysis, which is entirely absent from the description, and the description does not clarify whether the output is a summary report or raw extracted data.

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%, so the parameters are already documented in the schema and the description adds no parameter-level detail. The slight mismatch between 'logs de consola' and the schema's 'Ruta al log del motor' is minor and does not meaningfully enrich or clarify the parameters.

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 states a specific action ('Lee los últimos logs de consola') and concrete outcomes (extraer NullPointerExceptions, Warnings y métricas de rendimiento), which distinguishes it from siblings like inspeccionar_jerarquia_escena or ejecutar_suite_pruebas_motor. However, the tool name references 'fugas_memoria' (memory leaks), but the description never mentions memory-leak analysis, creating a notable gap.

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?

There is no guidance on when to use this tool versus the sibling tools, nor any exclusions or prerequisites. An agent must infer the use case solely from the action described, which is minimal direction.

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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