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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered by structured data. The description adds useful behavioral context by disclosing deliverable-specific traits: verified images/diagrams, datasheet links, certifications, and displacement seams. It does not fully explain how verification is performed, but given annotation coverage, the additional disclosure is meaningful.

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 sentence led by the action and object, with the deliverable list placed early. 'Institutional-grade' is mild filler, but the rest is dense and informative. It is concise without sacrificing the tool's distinctive output details.

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 complex 10-parameter tool, the description plus full parameter descriptions and an output schema provide enough for an agent to select and invoke it correctly. It could go further by explaining how the optional 'our_*' inputs feed displacement-seam analysis, but that is not essential because the schema already documents each parameter's role.

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 100%, and each parameter already has rich, actionable descriptions (e.g., target_domain, spec_category enum, client_id loading context, product_name_or_model fallback to flagship offering). The description adds some framing like 'displacement seams' and the range of physical/software domains, but it does not need to compensate for schema gaps since there are none.

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 action ('Deconstruct') and resource class ('physical hardware device, battery pack, medical system, or software API') and names concrete outputs: technical specification table, exact units, tolerances, verified images/diagrams, datasheet links, certifications, and displacement seams. This clearly differentiates it from siblings like teardown_tech_stack, which would target a technology stack, and generate_displacement_playbook, which focuses on playbooks rather than specifications.

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 implies the use case: deep product teardown into an institutional-grade specification table with verified artifacts. However, it never explicitly says when to choose this tool over alternatives such as teardown_tech_stack, analyze_head_to_head, or generate_displacement_playbook, and it provides no exclusions or conditions for when not to use it.

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