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List Benchmarks

list_benchmarks
Read-only

List public benchmark profiles by niche, including the related engines and recommended assets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolIdYes
benchmarksYes
generatedAtNo
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
systemMappingYes
inputAssumptionsYes
canonicalPublicUrlYes
evidenceReferencesYes
evidenceClassificationYes

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds that the tool lists 'public' profiles (implying data scope) and what it returns (related engines and assets). However, it does not disclose any pagination, limits, or whether results are sorted, but these may be covered by the output schema. The additional context is modest, so a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. It states the action, the object, and key output details efficiently. Every word contributes to explaining what the tool does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters and an existing output schema, the description covers the essential purpose and scope. It mentions what is included (engines, assets) which is helpful. It does not explicitly differentiate from sibling tools, but given the tool's simplicity and the presence of an output schema, this is not a critical gap. A robust description might mention that it lists all public benchmarks rather than a specific one, but the name and context suffice.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so the baseline is 4. The description correctly implies no input is needed and adds context about the output content. It does not mislead about parameters, although the phrase 'by niche' might suggest a filter parameter that does not exist. Since there is nothing to document, the description adequately handles this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states an action (List) and a specific resource (public benchmark profiles), and adds detail about included content (related engines and recommended assets). It is distinct from get_benchmark (singular) in that it lists many, but it does not explicitly differentiate itself from similar list tools like list_engines. The ambiguity around 'by niche' (since there are no parameters) slightly detracts but overall is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives. The description does not mention that get_benchmark is for retrieving a specific benchmark or that list_engines lists engines separately. An agent would need to infer usage from the tool name alone, which is insufficient given the many sibling tools.

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

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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes, with clear get/list/run patterns separating fetching, listing, and executing. A few tools like scan_ai_visibility and run_trust_stack_audit both scan websites but focus on different signals, so minor overlap exists but descriptions clarify boundaries.

Naming Consistency5/5

All 29 tools consistently use snake_case with verb_noun structure (get_, list_, run_, scan_, select_, find_, pricing_lookup). The naming convention is uniform and predictable, making it easy to infer tool behavior.

Tool Count2/5

With 29 tools, the server exceeds the typical comfortable range (16-25 is already heavy). While the domain is broad, the high count may overwhelm agents and increase selection complexity without clear benefit.

Completeness4/5

The server covers a comprehensive range of operations: listing, fetching, running diagnostics, scanning, and recommendations. It lacks CRUD operations, but as a read-only resource and diagnostic server, that's appropriate. Some minor gaps exist, but the core workflows are well covered.

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