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

With no annotations, the description carries the full burden of behavioral disclosure, but it provides none. It does not state whether the tool is read-only, what it returns, what side effects exist, or any constraints. The description is purely descriptive of a domain concept, not the tool's behavior.

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 with no redundancy, which is concise. However, it is not front-loaded with the action; it leads with a noun phrase that obscures the tool's function. It is efficient in word count but poorly structured for clarity.

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?

There is no output schema, no annotations, and the description provides minimal context. An agent cannot determine what the tool returns, how to interpret the criteria, or how it relates to the comparison process. The tool is essentially a black box, making it inadequate for 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 input schema is empty, so schema description coverage is 100% by default. The baseline is 3, but the description adds no value for parameters because there are none. More importantly, it fails to clarify the tool's purpose, so an agent cannot infer what the tool does with zero parameters. The description is too vague to compensate for the lack of 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 is a noun phrase, 'The criteria and any filters of the UK dental practice management systems certified for NHS claims comparison,' which fails to state a clear verb or action. It reads as a definition of what is compared rather than what the tool does, leaving the agent uncertain whether this tool returns, describes, or filters criteria. It does not distinguish itself from sibling tools like compare_options or compare_table.

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?

There is no guidance on when to use this tool versus its siblings. No context is given about selection criteria, prerequisites, or alternative tools, so an agent has no basis to choose this over compare_options or compare_table.

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?

No annotations are provided, so the description carries full responsibility for disclosing behavioral traits. It does not state whether the tool is read-only, whether it has side effects, requires authentication, or has any rate limits. It does mention the return content (name, best for, tags) but fails to disclose any operational behavior.

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, concise sentence with no redundant phrasing. It front-loads the domain context and mentions the filter. However, the sentence structure is somewhat awkward ('The options... for comparison'), which slightly detracts from clarity, but it is appropriately sized.

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 tool with two optional parameters and no output schema, the description gives some return info (name, best for, tags) but omits the meaning of filterKey and the overall purpose of 'comparison'. It does not state whether this returns a list, a single object, or how filtering behaves. Given the low complexity, it is minimally adequate but leaves key 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%, so the description must compensate. It partially explains filterValue by mentioning 'filtered by a tag value', but filterKey is never explained. It does not clarify what the filter key is, whether both parameters are needed together, or how they interact. With two undocumented parameters, this is insufficient.

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 ('options in UK dental practice management systems certified for NHS claims') and mentions the output fields (name, best for, tags), but the action is ambiguous. The tool name implies 'compare', yet the description is a noun phrase ('The options... for comparison') rather than stating what the tool does (e.g., 'retrieves' or 'lists'). It does not clearly distinguish from siblings like compare_criteria or compare_table.

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?

No guidance is given on when to use this tool versus alternatives. Siblings include compare_criteria, compare_table, enquiry_describe, etc., but the description does not mention any selection criteria or exclusions. The agent is left to infer the tool's role from its name alone.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that the tool returns a full table of values, but it does not disclose the effect of the option parameter, the output format, or whether filtering changes the result. This is thin for a tool with no annotation support.

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 compact sentence with no filler. The 'full table' appositive adds clarity, though the long modifying phrase about UK dental practice management systems makes the sentence somewhat dense.

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 one-parameter tool, the description plus schema is minimally adequate: it names the table contents and the schema documents the parameter. But without annotations or an output schema, and with no usage or behavior detail, an agent is left to infer important details about filtering and return format.

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%, so the baseline is 3. The description mentions 'each option's value,' which loosely aligns with the option parameter, but it adds no new detail about how the parameter behaves beyond the schema's 'one option's name, else all.'

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 as a full comparison table of options against criteria for UK dental practice management systems, and the phrase 'the full table' differentiates it from sibling tools like compare_criteria and compare_options. However, it lacks an explicit verb like 'returns' or 'lists,' so purpose is clear but slightly indirect.

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 'the full table' implies this tool is for viewing the complete matrix rather than individual criteria or options, but there is no explicit guidance on when to use this versus compare_criteria or compare_options, and no exclusions are stated.

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 of behavioral disclosure. It openly states what the tool returns (who receives details, consent wording, confirmation process) and clarifies what it does NOT do (no purchase, no guaranteed quote, free). This is fully transparent and leaves no ambiguity.

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 concise and front-loaded. It opens with 'Read first' to immediately signal purpose, then uses two compact sentences to convey all necessary information without waste.

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 describe tool with no parameters and no output schema, the description is fully complete. It tells the agent what the tool does, what it returns, and its relationship to submit_enquiry, leaving no 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?

The tool has zero parameters, so there is nothing to document. Per the baseline for tools with no parameters, a score of 4 is appropriate; the description correctly does not attempt to describe parameters that don't exist.

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 its purpose: to describe what submit_enquiry does. It uses a specific verb ('States plainly') and identifies the resource ('what submit_enquiry does on Dental Software Compare'). It distinguishes itself from siblings by focusing on the explanation of the enquiry process, not performing it.

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?

It explicitly instructs 'Read first,' indicating this should be consulted before using submit_enquiry. While it doesn't mention alternatives like compare_criteria or enquiry_fields, the 'Read first' directive provides clear contextual guidance for when to use this 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?

No annotations are provided, so the description carries the full behavioral disclosure burden. It states the content of the result but not the result shape (array vs object), and it does not explicitly indicate that this is a read-only operation or whether any authentication is needed. For a simple parameterless lookup this is a minor gap, but the absence of side-effect/read-only disclosure keeps it at a mid score.

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 wasted words. The first sentence enumerates the output content, and the second gives a direct usage hint. The structure is front-loaded and 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 parameterless metadata lookup with no output schema and no annotations, the description covers the returned fields and the downstream consumer. It does not specify the exact return container or data types, but those details are not necessary for invoking the tool successfully. The description is nearly complete given the low complexity.

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 accepts zero parameters, so the schema already covers everything and the baseline is 4. The description adds relevant context by noting that the returned field keys are used as the keys for answers in submit_enquiry, which is helpful beyond the empty schema.

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 Dental Software Compare enquiry') and enumerates the returned attributes: key, label, type, required, help text, and allowed options. It lacks an explicit verb like 'lists' or 'returns', but the meaning is unambiguous. It also distinguishes itself from submit_enquiry by explaining how the field keys are consumed.

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 a workflow: call this tool to obtain field keys, then pass answers to submit_enquiry keyed by those keys. It gives a useful routing hint to a sibling tool but does not explicitly state when to use this instead of enquiry_describe or other siblings, nor does it provide exclusions.

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?

No annotations are provided, so the description carries the full burden. It discloses the two-step interaction, exact consent text, email with click-link before provider sees it, and that the confirmation token is required. This is comprehensive and leaves no ambiguity about the operation's behavior.

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 long but necessary for the two-step process. It front-loads the core purpose and then walks through each step with clear sequencing. Every sentence adds value; no fluff or redundancy.

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?

Complete for a two-step submission tool with no output schema. It covers validation, token, consent, email link, and the condition that provider sees it only after email click. The agent knows exactly how to call and what to expect at each step.

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 has 100% coverage, baseline 3. The description adds usage semantics: answers are keyed by field key from enquiry_fields, consent must be true, and confirmation token from step 1 is reused. This enriches beyond the schema's property descriptions.

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 it 'Submits an enquiry to Dental Software Compare' and explicitly contrasts with 'NOT a purchase, NOT a guaranteed quote'. The title reinforces the two-step nature. It distinguishes from sibling tools (compare_*, enquiry_describe, enquiry_fields) by focusing on submission rather than comparison or field lookup.

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?

Provides an explicit two-step workflow with consent requirements, and references enquiry_fields for field keys, implicitly guiding the agent to use that sibling first. It clarifies what it is not (purchase, guaranteed quote) but does not explicitly name alternative tools for when to use them instead.

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