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Ground Truth - Fresh Evidence for AI Agents

Create Shareable Evidence Link

create_share_link

Create a read-only public link to the latest result for one of your monitors. The link contains monitor metadata and evidence, never the API key, and expires automatically. Use it to share a verified change with a teammate, customer, or agent. Requires a free watch key or paid API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoOptional human-readable title for the shared report.
monitor_idYesThe monitor ID whose latest evidence should be shared.
expires_in_daysNoLink lifetime in days, up to 30 days.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
report_idYes
share_urlYes
expires_atYes
monitor_idYes

TDQS

A4.5/5.0
Behavior5/5

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

The description adds meaningful behavioral detail beyond the annotations: the link is read-only, contains monitor metadata and evidence but never the API key, and expires automatically. It also clarifies auth requirements. This is exactly the kind of non-obvious behavior an agent needs and the annotations do not provide.

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 dense, purposeful sentences with the core action front-loaded. Every sentence earns its place: what it creates, what it contains/doesn't contain, expiration, and the intended use plus auth requirement. No redundancy or filler.

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 an output schema exists and the input schema is fully documented, the description covers all critical context: read-only behavior, content safety, expiration, sharing purpose, and auth requirements. No important information is missing for an agent to invoke this tool 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?

Input schema coverage is 100% and each parameter already has clear descriptions. The tool description reinforces the monitor_id purpose by mentioning 'latest result for one of your monitors', but it does not add substantial meaning 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 states a specific verb ('Create'), a clear resource ('read-only public link'), and a precise target ('latest result for one of your monitors'). This makes it easily distinguishable from sibling tools like get_monitor_result or create_monitor.

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 explicitly names the intended use case: sharing a verified change with a teammate, customer, or agent. It also notes the auth prerequisite (free watch key or paid API key). It does not explicitly name alternative tools or exclusion criteria, but the use case and resource are clear enough for an agent to select it appropriately.

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.

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