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Search log locations

search_log_locations
Read-only

Find where an application writes its log files. Matches app names and aliases (for example 'teams', 'zoom', 'docker'), not vendor names. Returns each app's log paths by platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesApp name or alias
platformNoOnly paths on this platform

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the return shape ('each app's log paths by platform'), which is helpful context, but says nothing about result-count limits (limit max 25) or truncation behavior on a search endpoint.

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?

Three short sentences, no filler, and the core purpose is front-loaded before the matching caveat and return note.

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 does state what comes back (log paths per platform), and annotations cover safety. The main omissions are the limit/pagination semantics and any relationship to the sibling tool.

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?

Schema coverage is only 67%, and the description compensates meaningfully by explaining that 'query' matches app names and aliases rather than vendor names, which is not in the schema. It also ties results to the platform filter. The limit parameter's behavior remains unexplained.

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+resource: 'Find where an application writes its log files', and adds a distinguishing scope note ('matches app names and aliases, not vendor names'). However, it never differentiates itself from the sibling get_app_log_locations, so the agent cannot tell them apart from the description alone.

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

Usage Guidelines3/5

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

It gives useful matching guidance (aliases such as 'teams', 'zoom', 'docker'; not vendor names), which implies how to phrase a query. But it offers no when-to-use vs. when-not guidance and does not route the agent to or away from the sibling tool.

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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