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riponcm

Projectmem

by riponcm
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

precheck_file

Check a file's failure history before making changes to avoid repeating past mistakes and unresolved issues.

Instructions

Check a file's failure history BEFORE modifying it.

MANDATORY: call this BEFORE proposing any change to a file.
Surfaces failed past approaches, unresolved issues, and high churn
so you don't repeat known dead-ends. Cheap (~100 tokens) and prevents
expensive re-debugging cycles.

Read-only; does not modify memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesProject-relative or absolute file path to check (e.g., 'src/auth.py'). Matched against the `location` field of logged events — no file content is read from disk. Returns 'no warnings' if the file has no failure history.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Changed1 schema field changedv0.1.3
    • addedInput schema / properties / file_path / description
      Added value: +"Project-relative or absolute file path to check (e.g., 'src/auth.py'). Matched against the `location` field of logged events — no file content is read from disk. Returns 'no warnings' if the file has no failure history."
  2. First observedv0.1.1

TDQS

A4.9/5.0
Behavior5/5

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

Discloses read-only nature, cost (~100 tokens), and that no file content is read from disk, despite no annotations provided.

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?

Every sentence adds value; well-structured from purpose to mandatory call to benefits to cost to read-only, no wasted words.

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

Completeness5/5

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

Complete for a single-parameter tool with output schema: explains what, why, how, and implications.

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?

Adds value beyond schema by explaining matching against the `location` field and return behavior for files with no history; baseline 3 raised due to rich detail.

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?

Clearly states 'Check a file's failure history BEFORE modifying it' with a specific verb and resource, and distinguishes itself from sibling tools that log or record issues.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly mandates use 'BEFORE proposing any change to a file' and explains benefits (avoid dead-ends, cheap cost), providing clear context for when to invoke.

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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