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Read a Capy thread's conversation

capy_messages
Read-only

Retrieve message history from a Capy thread to review agent responses, reasoning, or pending questions.

Instructions

Read the message history of a Capy thread: what you asked, and what the agent said back. Use this to get the agent's own summary of what it did, its reasoning, or the question it is waiting on you to answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many messages to return. Defaults to 50.
cursorNoPagination cursor from a previous call.
thread_idYesThread id, e.g. "jam_123".
Behavior4/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true. The description adds value by specifying that the tool returns conversation history including user questions and agent responses, which aligns with annotations without contradiction.

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, no wasted words. The purpose is stated upfront, and the description is efficiently structured.

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?

Given the read-only nature and schema coverage, the description adequately explains what the tool returns. No missing critical details, though pagination behavior is implied via the cursor parameter.

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%, so the description does not need to explain parameters. It adds no extra meaning beyond what the schema provides, meeting the baseline expectation.

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 the verb 'Read' and the resource 'Capy thread's conversation', specifying it returns what the user asked and agent responses. It distinguishes from siblings like capy_message (sending messages) and capy_list (listing threads).

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 clear context for when to use the tool: to get the agent's summary, reasoning, or pending question. It does not explicitly exclude other scenarios or mention alternatives, but the context is sufficient.

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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