read

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add value by disclosing the key behavioral trait that this is an iterative/repeated polling operation (反復読取) rather than a one-shot read. However, it does not state whether the call is read-only and side-effect-free, what happens when the task is not found or still pending, or whether it blocks. The disclosure is partial.

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 a single compact sentence with no filler or redundancy. The key identification constraint (same task_id+payload_sha256 as submission) is included, and every element serves the purpose. The only structural downside is that the verb is end-loaded due to Japanese syntax, slightly reducing scannability for English-language agents.

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 polling tool in a submit/read/cancel lifecycle with no output schema and no annotations, the description leaves significant gaps: it does not describe the result shape, status vocabulary, termination conditions, or error behavior. An agent knows what to pass but not what to expect back or when to stop polling. Given the low complexity of the input surface, more completeness was achievable.

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 description coverage is 0%, so the description must compensate for the two bare parameters. It adds the meaningful constraint that both task_id and payload_sha256 must match the values used at submission time, which is essential for correct invocation. However, it does not explain what each parameter individually represents (e.g., that payload_sha256 is likely a content hash), leaving part of the semantic burden unmet.

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 states a specific verb and resource: iteratively read (反復読取する) the status and result (状態と結果) of a task identified by task_id+payload_sha256. Although written in Japanese, it clearly conveys a polling/read operation that is distinguishable from the sibling tools submit and cancel. It lacks an explicit sibling-differentiation sentence, but the verb+resource pairing is specific enough to identify the tool's role.

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 context is implied rather than stated: the phrase '投入時と同じ' (same as at submission time) signals that this tool is used after submit with the identifiers recorded at submission. However, there is no explicit guidance on when to use read versus submit/cancel, no mention of polling-until-complete behavior, and no exclusion or alternative routing. This meets the 'implied usage' level but nothing more.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.