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List Capy threads

capy_list
Read-only

List agent threads in a project to view active, idle, or archived threads and their pull request status. Filter by tags, status, or search terms.

Instructions

List agent threads in a project, newest first. Use this to see the whole fleet at once: what is still running, what is finished and waiting for review, and what has opened pull requests. Filter by status, tag, PR state, or a free-text query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoOnly threads carrying this tag. Useful for finding a batch you delegated.
limitNoHow many threads to return. Defaults to 20.
queryNoFree-text search across thread titles and content.
cursorNoPagination cursor from a previous call.
originNoFilter by where the thread came from. Threads you start here are "api".
statusNoFilter by coarse thread status.
pr_stateNoFilter by the thread's rolled-up pull request state.
project_idNoCapy project id. Defaults to CAPY_PROJECT_ID.
Behavior4/5

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

The description is consistent with annotations (readOnlyHint=true, openWorldHint=true) and adds behavior like ordering (newest first) and observable states. No contradictions.

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 the core purpose, no filler. Every sentence is informative.

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 list tool with 8 optional parameters and no output schema, the description covers key aspects: purpose, usage, ordering, and filters. Lacks mention of pagination via cursor, but not critical.

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 100% with well-described parameters. The description adds value by grouping filters (status, tag, PR state, query) and hinting at their use, going beyond 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?

The description clearly states it lists agent threads in a project, newest first. It distinguishes itself from siblings like capy_status (single thread) and capy_projects (list projects) by specifying the resource and scope.

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?

The description provides explicit usage context: 'Use this to see the whole fleet at once' and lists observable states. However, it does not mention alternatives or when not to use it, missing some guidance.

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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