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pylon_search_issues

Search issues using filters like state, title, assignee, or tags. Returns a compact table of matching issues for quick scanning.

Instructions

Search issues with filters. Returns compact table. Use pylon_get_issue for details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterYesFilter object. Each field requires an operator like {state: {equals: "new"}} or {title: {string_contains: "bug"}}
limitNoNumber of issues to return (1-100, default 25)
cursorNoPagination cursor
Behavior2/5

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

No annotations provided, so description bears full burden. It mentions 'compact table' but doesn't specify what fields are included, pagination behavior (though limit/cursor exist in schema), or if read-only. Insufficient behavioral context.

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?

Two sentences, front-loaded with action, no redundant information. Efficient and clear.

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?

Adequate for a search tool with many siblings, but missing details about return format (which fields in compact table) and pagination. Without output schema, more context would help.

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 coverage is 100% with good descriptions, so baseline 3. The description adds slight value by hinting at compact return but doesn't elaborate on filter syntax or parameter details beyond what's in the schema.

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 it searches issues with filters, returns a compact table, and directs to pylon_get_issue for details. Distinguishes effectively from sibling tools like pylon_get_issue.

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

Usage Guidelines4/5

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

Provides guidance to use pylon_get_issue for details, implying when to use this for summaries vs details. However, lacks explicit when-not-to-use directives compared to other siblings like pylon_list_issues.

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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