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

Annotations already supply readOnly, idempotent, and non-destructive hints. The description adds useful behavioral context by stating that this tool does not execute and that execution is deferred to client-called tools. It does not detail plan side effects or evidence-gate semantics, but it does not contradict the annotations.

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 with a clear front-loaded action and a useful clarifying second sentence. There is no wasted text, though it is not maximally informative.

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?

With no output schema and zero parameter documentation, the description leaves an agent without enough information to invoke the tool correctly. The annotations help cover safety and idempotency, but the missing parameter semantics and unknown output structure are significant gaps.

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% for the four parameters, and the description provides no semantic guidance for limit, maxSteps, caseStudyId, or researchRunId. The only weak connection is the phrase 'case study' hinting at caseStudyId, but this does not compensate for the complete absence of parameter documentation.

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 ('Plan') and resource ('case study hardening') and clarifies the tool's scope as methodology and evidence-gate steps. It is not a tautology, and the added distinction that execution happens separately helps separate it from execution-oriented 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 conveys the key context that this tool only plans, and that execution happens when the client calls credit-metered research tools. However, it does not explicitly name when to prefer this over related siblings such as ata_get_research_plan or ata_start_research_workflow, nor does it state any exclusion conditions.

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