replay_result
A replay's result: the job's state, and the replay once done with the execution model it charged. Free; the id is the receipt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | the id from replay |
A replay's result: the job's state, and the replay once done with the execution model it charged. Free; the id is the receipt.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | the id from replay |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds 'Free,' which discloses a cost trait not in annotations, and hints that this surfaces a job's state and completed replay. It does not explain behavior for jobs still running or error conditions, so the added value is modest.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but the middle clause ('the replay once done with the execution model it charged') is dense and ambiguous, forcing rereads. The 'Free' cost note is front-loaded usefully, but the overall phrase structure sacrifices clarity for terseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter read-only lookup with no output schema, the description does enough: it names the returned concepts (job state, replay, execution model) and flags the free/cost trait. Missing details about pending-job behavior and error handling keep it short of fully complete, but an agent can call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter ('the id from replay'), so the schema already carries the semantic load. The description's 'the id is the receipt' reinforces that the id comes from the replay call, adding a little meaning but no format or sourcing detail beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description indicates the tool returns a replay's result, including job state and the completed replay, which is enough to identify it as a result-retrieval endpoint. However, it never states a clear verb like 'get' or 'fetch,' and the phrase 'the replay once done with the execution model it charged' is opaque, making the exact purpose only loosely clear. The sibling tool 'replay' is referenced only obliquely through 'the id is the receipt.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: 'the id is the receipt' and the schema's 'the id from replay' together suggest this is called with an id obtained from the replay tool. There is no explicit statement of when to use this versus replay, nor any exclusion or prerequisite, so an agent must infer the call sequence.
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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