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

With no annotations, the description carries full burden. It discloses the tool's behavior: it returns who receives details, consent wording, and confirmation method. It implies read-only behavior through 'Read first' and the focus on explanation, but does not explicitly state side effects or limitations. Since it's a description tool, this is sufficient.

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, starting with the imperative 'Read first,' which front-loads the usage instruction. The second sentence elaborates concisely on what the tool returns. It's appropriately sized for a simple describe tool, though it could be tightened.

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 parameters and no output schema, the description provides all essential information: what the tool does and what it returns. It covers the key aspects of submit_enquiry that an agent needs to understand before using it. There are no gaps that would prevent correct invocation.

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, so the baseline is 4. The description doesn't need to explain parameters, and it doesn't. The schema coverage is 100% (empty schema), so no information is missing.

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 purpose: to describe what submit_enquiry does, with specific details about its behavior (no purchase, no guaranteed quote, free). It distinguishes itself from submit_enquiry (which performs the action) and implies a different role from enquiry_fields by focusing on explanation 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 'Read first' explicitly instructs to use this before submit_enquiry. It doesn't mention alternatives or exclusions, but the context of 'what submit_enquiry does' makes it clear this is for understanding, not for performing the enquiry. It could be improved by explicitly stating when to use it instead of the other tools, but the guidance is adequate.

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 and no output schema, the description carries the behavioral transparency burden, and it does disclose the exact contents of the returned field information: key, label, type, required flag, help text, and allowed options. It could be more explicit about being read-only, but the nature of a field-listing tool makes that reasonably inferable.

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 exactly what the tool provides, and the second connects the output to the sibling submission tool. Every sentence earns its place and the most important information is front-loaded.

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 that the tool has no parameters, no annotations, and no output schema, the description conveys enough to use it: what the fields are and how their keys connect to submit_enquiry. It would be marginally more complete if it explicitly distinguished this tool from enquiry_describe.

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 coverage is 100%, so the description does not need to explain parameter semantics. This matches the baseline of 4 for a no-parameter tool.

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 identifies the resource ('Every field of the Drain Prices enquiry') and enumerates the exact attributes exposed, which makes the tool's purpose clear. However, it lacks an explicit verb like 'returns' or 'lists', so it is slightly weaker than a fully direct purpose statement.

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 provides clear usage context by telling the agent to pass answers to submit_enquiry keyed by field key, which signals that this tool should be used to discover the enquiry schema before submission. It does not explicitly contrast with enquiry_describe, so it stops short of full alternative-routing guidance.

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, the description carries the full behavioral burden. It fully discloses the two-step validation/submission flow, the requirement for consent, the return of a summary and consent line in step 1, and the email-with-link behavior after submission. It also explicitly states what the tool does NOT do (purchase/quote), giving the agent an accurate behavioral model.

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 longer than typical but appropriately so given the two-step process. It is front-loaded with the primary purpose and the 'NOT a purchase' clarification, then logically sequences the steps. Every sentence adds necessary context; no fluff. The length is justified by the complexity.

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 tool's complexity (two-step, consent, email verification) and the absence of an output schema, the description is remarkably complete. It explains what the tool returns at each step, what consent entails, and the post-submission flow. An agent has all necessary information to call the tool correctly.

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 descriptions cover 100% of parameters, so the baseline is 3. The description adds context beyond the schema by explaining that 'answers' are keyed by field key from enquiry_fields, that 'confirmation' is the token from step 1, and by clarifying the consent semantics. This elevates it above the baseline.

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: 'Submits an enquiry to Drain Prices' and explicitly distinguishes it from a purchase or a guaranteed quote. It also frames the two-step nature, making the purpose unambiguous and separable from siblings like 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 provides explicit step-by-step usage instructions: step 1 to validate and obtain a summary/token, step 2 to actually submit only after the person agrees. It also clarifies that consent must be true and defines what consent means. While it doesn't name alternative tools, the two-step workflow and the emphasis on 'NOT a purchase' effectively guide the agent on when and how to invoke it.

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