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 goes far beyond that: it declares determinism, side-effect-free operation, and explicitly lists what it does not do (run solver, choose candidate, store, grant authority). It also enumerates the exact categories of information recorded (quantities, units, snapshots, constraints, provenance, etc.), giving the agent a precise behavioral model. No contradiction with annotations since none exist.

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 two sentences, efficiently front-loading the main purpose in the first sentence. The second sentence packs a substantial list of recorded items, which is dense but not excessively long. It avoids fluff and stays focused. A slight deduction for the jargon-heavy second sentence that could be clearer, but overall it is concise and well-structured.

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?

Despite having an output schema (true), the description does not explain any of the 5 required parameters, their semantics, or how to structure the inputs. The domain is specialized (a2a2p domain-solutioning), and while the high-level purpose is clear, an agent cannot confidently build a valid invocation without understanding what 'source', 'objectives', 'experiments' etc. expect. The description is far from complete for a tool with this many required parameters and specialized terminology.

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% – the description never references the input schema's parameters (source, candidate_ids, objectives, hard_constraints, experiments). While the description mentions 'candidate IDs' and 'hard constraints' in a general sense, it does not explain what each parameter means, how to supply them, or what formats/values are expected. The schema itself has no per-property descriptions, so the description is the only source, and it fails to compensate. This is a critical gap.

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 clearly states the tool's function: to prepare a simulation study (not run it), targeted at existing a2a2p domain-solutioning candidate IDs. It specifies the resource (simulation study) and the action (prepare), and distinguishes itself from execution tools like run_bounded_simulation_study by explicitly noting it runs no solver. This is a specific verb+resource that sets it apart from siblings.

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 makes the usage context obvious: it is a preparation step, not execution, and it is side-effect-free. It implies this should be used before running a simulation and before any solver execution, and it is for domain-solutioning candidates. However, it does not explicitly name alternative tools or provide when-not-to-use conditions beyond the implicit 'no solver, no selection, no storage, no authority' statements. This is clear context but lacks explicit exclusions.

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