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Wsyjq

pollux-mcp

by Wsyjq

search_events

Search project event logs by substring across summaries, notes, locations, files, and git metadata. Results rank open issues and unresolved failures first, with archived events optional.

Instructions

Search the event log, most relevant first (open issues, unresolved failures, recency, and file-path hits rank higher). Empty result returns a friendly message, not an error. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax events to return.
queryYesCase-insensitive substring. Matched against summary, notes, location, files, git_commit, and git_message.
include_archivedNoAlso search archived event files.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states the operation is read-only, describes the ranking criteria, and explains that an empty result returns a friendly message rather than an error. This is strong behavioral transparency.

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 two sentences with no filler. It front-loads the core action and packs in useful information about ordering, empty-result behavior, and read-only status. Every clause earns its place.

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?

For a read-only search tool with a fully documented schema and an output schema, the description covers purpose, behavior, and result ordering. It only lacks explicit usage context or alternatives, which keeps it from being fully complete.

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 already describes all three parameters with 100% coverage, so the description does not need to add parameter details. The mention of file-path hits and relevance ranking slightly enriches the query semantics, but the schema handles most of the burden. A baseline of 3 is appropriate.

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 starts with a specific verb and resource: 'Search the event log'. It also explains the relevance ordering, so an agent knows exactly what the tool does and how results are ranked. No sibling tool is described as an event-log search, making its purpose distinct.

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 gives no explicit guidance on when to use this tool versus alternatives. It does not mention situations where a sibling tool like get_context or get_issue would be more appropriate, leaving the agent to infer the use case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.