squire

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

With no annotations provided, the description carries the full disclosure burden. It successfully conveys environmental isolation ('offline...image'), temporary staging, and artifact generation. However, it omits critical behavioral details: what the tool returns upon completion (execution logs? results JSON?), cleanup behavior of the staged files, and any side effects on the local system beyond the optional download.

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?

Dense but efficient single sentence with zero waste. Progresses logically from staging to execution to artifact handling, front-loading the core action. Each clause maps directly to a parameter or critical environmental constraint.

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?

Given the absence of an output schema and annotations, the description should explain the return value (simulation results, exit codes, logs), but it only mentions side-effect artifacts. While parameters are well-covered by the schema, the execution lifecycle (cleanup, timeouts, error states) remains undocumented.

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?

With 100% schema coverage, the baseline is 3. The description adds valuable domain context beyond the schema: 'small' reinforces size constraints, 'Python/Qiskit' clarifies the expected file types for the 'files' parameter, and 'Qiskit Aer image' explains why 'backend' is limited to aer_simulator. This framing helps agents correctly map intent to parameters.

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 provides specific verbs (stage, run, download) and identifies the unique resource (Python/Qiskit files, Qiskit Aer image). It distinguishes this from generic build/compile siblings by specifying the quantum stack. However, it stops short of explicitly positioning against hypothetical general-purpose execution tools.

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?

The description contains implicit constraints ('small' file set) but provides no explicit guidance on when to use this tool versus alternatives, prerequisites (e.g., Qiskit knowledge), or when to avoid it (e.g., for production-scale quantum jobs).

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