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list_findings

Retrieve findings from a pooled agent in reading order, optionally filtered by run ID.

Instructions

Return the pooled agent's findings oldest-first — the assembled-document reading order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idNoWhen given, return only the findings recorded within that run; None returns all.
agent_keyYesStable external identifier for the pooled agent a caller manages — assign your own scheme (a ticket id, a slug, a UUID, anything meaningful to your use case). The pool's logical lookup key; distinct from the human-readable display name, and distinct from the harness's per-dispatch `AgentId`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description adds behavioral context about the ordering and reading order, which is beyond what annotations (absent) would provide. However, it does not disclose other aspects like idempotency, pagination, or error conditions, leaving moderate gaps.

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 sentence that efficiently conveys the core purpose and ordering. It front-loads the verb and resource, with no unnecessary words.

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?

Given that an output schema exists, the description does not need to detail return structure. However, it lacks explanation of key concepts like 'assembled-document reading order' and whether results are paginated, leaving some ambiguity.

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?

The input schema already provides full descriptions for both parameters (run_id and agent_key) with 100% coverage. The description does not add any extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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 'Return', the resource 'pooled agent's findings', and the ordering 'oldest-first' with the notion of 'assembled-document reading order'. It distinguishes this tool from siblings like list_agent_runs and get_run by focusing on findings.

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?

No guidance is provided on when to use this tool versus alternatives such as get_run or list_agent_runs. There is no mention of prerequisites, context, or exclusions, leaving the agent without decision support.

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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