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Claim feedback item

loopback_claim_feedback
Idempotent

Atomically claim a feedback item so only your agent works on it. Sets status to in_progress and optionally force-takes over an existing claim.

Instructions

Atomically claim a feedback item for an agent before working on it. Prevents two agents from fixing the same thing.

Args: id, agent (your name, e.g. 'claude-code', 'codex', 'gemini'), force (default false).

On success the item's assignee_agent is set and status moves to 'in_progress' (from open/triaged). If another agent already holds the claim, this fails with a message naming the holder — pass force=true only if you intend to take over.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesFeedback id, e.g. 'fb_mabc12_3f9a1c'
agentYesName of the claiming agent, e.g. 'claude-code', 'codex', 'gemini'
forceNoTake over even if another agent already claimed the item

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesFeedback id, e.g. 'fb_mabc12_3f9a1c'
urlNo
bodyYes
typeYes
extraYesFree-form captured context. Read `extra.failed_responses` for failing requests with up to 2KB of response body, and `extra.context` for LLM/automation run metadata (run_id, model, trace_url).
linksYesRepo/branch/commit/PR of the fix
routeNo
titleYes
sourceYes
statusYes
consoleYesConsole lines captured at report time
networkYesNetwork calls captured at report time
projectYes
commentsNoFull audit trail
reporterYes
severityYes
created_atYes
replay_urlNo
resolutionNo
updated_atYes
attachmentsNoFiles attached to this item. `intent` decides what you do with each: 'reference' is context for the fix and never ships; 'asset' is a deliverable — copy it from `path` to `target_path` in the repo, commit it, and record that with loopback_link_change. Read files from `path` directly rather than fetching `url`.
repro_stepsYes
dom_selectorNo
assignee_agentNoAgent currently holding the claim
screenshot_pathNo
Behavior5/5

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

Beyond the annotations, the description discloses the atomic claim behavior, the exact state changes (assignee_agent set, status moves to 'in_progress'), and the failure condition with a message naming the holder. It also explains the semantics of force=true. This is rich behavioral context that annotations alone 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?

The description is three short paragraphs, with the key action in the first sentence. Every sentence adds necessary detail: the purpose, the parameters, and the outcome/failure. There is no redundant or filler text; it is appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers what the tool does, when to use it, parameter semantics, success state changes, and failure behavior. Given that an output schema exists (though not shown), the description need not detail return values. For a claim tool with concurrency concerns, this is complete and self-sufficient.

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%, so baseline is 3. The description adds value by explaining the parameter roles in context (agent as 'your name', force with its default and implication), and by tying them to the success/failure behavior. This exceeds the schema's plain descriptions, justifying a 4.

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+resource: 'Atomically claim a feedback item for an agent before working on it.' This clearly distinguishes the tool from siblings like update or resolve, and the atomicity detail adds unique purpose. The wording prevents any ambiguity about what operation is performed.

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 states when to use it ('before working on it') and explains the failure mode and force option, giving practical usage guidance. It does not explicitly name alternative tools for similar tasks, but the context makes the appropriate scenario obvious. The guidance is clear enough to be effectively 4.

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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