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

With no annotations at all, the description carries the full burden, and it excels: it discloses that no purchase, order, or payment occurs, that quotes are not guaranteed, that the service is free, and that the tool returns who receives details, consent wording, and confirmation behavior. This is unusually thorough behavioral disclosure.

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 compact, front-loaded with 'Read first', and every sentence earns its place. It efficiently covers the tool's informational purpose, key disclaimers, and what it returns without unnecessary elaboration.

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 zero-parameter informational tool with no output schema, the description fully equips an agent to decide when to call it and what to expect. It covers the core behavior, exceptions, and return details, leaving no critical gap.

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?

The tool has zero parameters and the schema already covers this completely, so no parameter documentation is needed. Per the zero-parameter baseline, a 4 is appropriate since the description adds no parameter detail but none is required.

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 that this tool explains what submit_enquiry does, using an explicit verb ('states plainly') and specific resource context ('Industrial Flooring Cost'). It distinguishes itself from submit_enquiry by describing rather than performing the enquiry action, and from enquiry_fields by focusing on behavioral outcomes rather than fields.

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 opening phrase 'Read first' gives an explicit usage directive, implying this should be consulted before calling submit_enquiry. It does not explicitly discuss when to use enquiry_fields or when not to use this tool, but the context strongly suggests it is the preliminary informational tool.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does this well by stating exactly what data the tool exposes and noting that options are included only 'where there are any'. It does not describe response structure or potential edge cases, but the tool is a simple zero-parameter read operation.

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?

Two sentences with no filler. The first sentence states the tool's scope and content, and the second connects it directly to the downstream submit_enquiry workflow. Every sentence earns its place.

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 simple, zero-parameter, no-output-schema introspection tool, the description is nearly complete: it describes the returned field metadata and how to use it. The only notable gap is the lack of any mention of the sibling enquiry_describe, which could leave an agent unsure which tool to pick in a broader workflow.

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?

The tool has no parameters and the input schema is empty, so there is nothing to document. The description adds meaningful semantic context by explaining that the returned field keys are the ones to use when submitting answers to submit_enquiry, which is helpful despite there being no 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 clearly identifies the resource: every field of the Industrial Flooring Cost enquiry, and lists exactly what is returned (key, label, type, required, help text, options). It does not use an explicit verb like 'returns' or 'lists', and it does not distinguish itself from the sibling enquiry_describe, so it falls just short of a 5.

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 phrase 'Pass answers to submit_enquiry keyed by field key' implies that this tool should be used to discover valid keys before calling submit_enquiry. However, there is no explicit when-to-use/when-not-to-use guidance and no differentiation from enquiry_describe, so usage context is only implied.

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

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

With no annotations provided, the description carries the full burden, and it discloses important behavior: validation on the first call, no submission until the second call, email with a link that must be clicked before providers see the enquiry, and the exact meaning of consent. This is strong transparency for a stateful, two-step write operation.

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 dense but organized, front-loading the critical 'not a purchase' distinction and then laying out Step 1 and Step 2 in sequence. Every sentence adds operational information an agent needs; no filler.

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 tool with no output schema and no annotations, the description is complete: it specifies inputs, the two-call protocol, the return values of step 1, the consent requirement, and the post-submission email flow. An agent can correctly sequence calls using this text alone.

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 coverage is 100%, so the baseline is 3; the description adds meaningful semantics beyond the schema by explaining how answers, consent, and confirmation interact across the two steps, including the exact consent wording and the need to reuse the step-1 confirmation token.

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 uses a specific verb and resource ('Submits an enquiry to Industrial Flooring Cost') and immediately disambiguates it from a purchase or a guaranteed quote. The two-step nature is stated upfront, making the tool's role clear relative to the enquiry workflow and to siblings such as enquiry_describe and enquiry_fields.

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 gives explicit procedural guidance: call first with answers and consent=true to obtain a summary and confirmation token, then call again with the same data plus the token only if the person agrees. It also notes this is NOT a purchase, but it does not explicitly state when to prefer enquiry_describe or enquiry_fields over this tool, beyond referencing enquiry_fields for field keys.

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