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List or search Paperclip issues

paperclip_issues
Read-onlyIdempotent

List company issues as a compact Markdown summary, with filters for status, assignee, project, and more. Cap the result count or retrieve all visible issues.

Instructions

Return a compact Markdown list from GET /api/companies/:companyId/issues. With no filters and no limit, Paperclip returns all visible company issues. Filters narrow the list; limit caps it. Results are inline below the configured token threshold and otherwise returned as a snapshot path. Use paperclip_issue for details on one issue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFull-text issue search query.
limitNoOptional result cap. Omit to request all matching issues.
statusNoStatus or statuses.
label_idNo
origin_idNo
parent_idNo
project_idNo
origin_kindNo
assignee_user_idNo
assignee_agent_idNo
participant_agent_idNo
execution_workspace_idNo
include_routine_executionsNo

Schema Changelog

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

  1. First observedv0.6.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark the tool read-only and idempotent; the description goes further by revealing the compact Markdown output format, the default 'all visible issues' behavior, and the token-threshold condition where results are inline versus returned as a snapshot path. This is meaningful behavioral context that structured fields do not provide.

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?

Five short sentences, each carrying distinct information: endpoint/format, default behavior, filter/limit effects, threshold-based output, and routing to a sibling. No filler or redundancy.

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?

The description covers the core usage and the unusual snapshot-path behavior, but with 13 parameters and no output schema it leaves meaningful gaps: specific filter parameters are not enumerated, and the snapshot path mechanism is not explained. It is adequate but not complete for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 23% of parameters described in the schema, the description needed to compensate. It only says 'Filters narrow the list; limit caps it,' which is generic and names only the limit parameter. The other 10 filter parameters (label_id, origin_id, parent_id, etc.) remain semantically unexplained, so the description falls short of making the parameters usable.

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 opens with a specific verb and resource, 'Return a compact Markdown list from GET /api/companies/:companyId/issues', and clarifies the default scope ('all visible company issues'). The final sentence explicitly distinguishes it from the singular paperclip_issue tool, so an agent can tell which tool to use.

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?

The description states when to use the tool (to get a list of issues) and explicitly points to paperclip_issue for detail on a single issue. It also explains the effect of no filters/no limit and that filters narrow the list, giving the agent clear conditions for parameterization.

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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