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pipseedai

GitHub MCP Server

by pipseedai

github_list_issues

Retrieve and filter issues from a GitHub repository to track bugs, feature requests, and tasks. Specify owner, repository, state, and labels to organize project management.

Instructions

List issues for a repository

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesRepository owner
repoYesRepository name
stateNoIssue state filter (default: open)
labelsNoComma-separated list of label names
per_pageNoResults per page (default: 30, max: 100)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions listing but doesn't disclose behavioral traits like pagination behavior (implied by 'per_page' parameter but not explained), rate limits, authentication requirements, or whether this is a read-only operation. For a tool with 5 parameters and no annotation coverage, this is inadequate.

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 a single, efficient sentence with zero wasted words. It's appropriately sized for a straightforward listing operation and gets directly to the point without unnecessary elaboration.

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?

Given 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (issue objects? just titles?), how pagination works beyond the 'per_page' parameter, or error conditions. For a GitHub API tool with multiple siblings, more context is needed.

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 schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., no context about how 'labels' filtering works or typical use cases for 'state'). Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the verb 'List' and resource 'issues for a repository', making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'github_search_code' or 'github_list_repos', which would require more specificity about scope or filtering capabilities.

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 provides no guidance on when to use this tool versus alternatives. With siblings like 'github_search_code' and 'github_update_issue', there's no indication of whether this is for basic listing versus more advanced operations, or any prerequisites for usage.

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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