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Ground Truth - Fresh Evidence for AI Agents

Endpoint Preflight

preflight_endpoint
Read-onlyIdempotent

Run reachability/response and security-header checks together for an unfamiliar URL or API before an AI agent trusts or acts on it. Returns one combined PASS/WARN/FAIL verdict with evidence from both checks. It does not prove that a service is safe, authenticated, or correct.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) URL or bare domain to preflight.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesNormalized URL that was checked.
summaryYesShort explanation of the combined verdict.
verdictYesCombined preflight verdict.
evidenceYesEvidence from the endpoint and security-header checks.
next_stepYesConcrete follow-up after reviewing the evidence.
recommended_actionYesSuggested next step.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds behavioral details about the return value (one combined PASS/WARN/FAIL verdict with evidence) and a clear caveat that it does not guarantee safety, authentication, or correctness. No contradiction with annotations.

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?

Three concise sentences with front-loaded action, followed by output and limitation. No redundancy or filler; each sentence earns its place.

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

Completeness5/5

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

Given a one-parameter tool with rich annotations and an output schema, the description covers the purpose, usage scenario, output format, and limitations. It is complete enough for an agent to decide when and how to invoke it correctly.

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

Parameters3/5

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

Schema coverage is 100% for the single url parameter, and the schema already describes it as a public http(s) URL or bare domain. The description reinforces the 'unfamiliar URL' context but doesn't add new parameter-specific details beyond the schema. Baseline 3 is appropriate.

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

Purpose5/5

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

The description uses specific verbs ('Run', 'Returns') and clearly states the scope (reachability/response and security-header checks combined). It distinguishes from siblings by emphasizing the combined verdict and the preflight use case, which separates it from check_endpoint and inspect_security_headers.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It specifies the intended use case ('for an unfamiliar URL or API before an AI agent trusts or acts on it') and provides limitations ('It does not prove that a service is safe, authenticated, or correct'). It doesn't explicitly name alternatives, but it implies when the combined check is appropriate versus individual checks.

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

A4.3/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there are several lightly overlapping pairs (check_endpoint/preflight_endpoint, check_pricing/compare_pricing_pages, estimate_market/compare_competitors, test_hypothesis/verify_claim). The detailed descriptions and explicit 'do not use for' notes mitigate confusion, so misselection is unlikely.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (e.g., check_endpoint, create_monitor, verify_claim). Even compound verbs like preflight_endpoint and run_monitor_now adhere to the same structure, making the naming fully predictable.

Tool Count4/5

19 tools is slightly heavy but reasonable for the broad scope covering endpoint checks, pricing, compliance, package research, claim verification, and monitor lifecycle. Each tool has a distinct role, though the count edges close to the 'heavy' range.

Completeness4/5

Core workflows are well-covered: create/list/delete/get/run/preview monitors, single and comparative pricing checks, endpoint and security verification, and claim testing. Minor gaps exist, such as no update_monitor tool or a way to explicitly verify a claim without pre-supplied evidence URLs, but these are workable.

Resources