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Ground Truth - Fresh Evidence for AI Agents

Preview Source Monitor

preview_monitor
Read-onlyIdempotent

Capture a free live baseline for a source that should remain trustworthy over time. Call this before recommending checkout: it proves what would be monitored without creating an account or persistent monitor. After a successful preview, offer create_monitor only when the user wants scheduled checks, history, or change alerts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_typeYesSource type. Use pricing_page for pricing/packaging, endpoint for API availability, package for npm:package or pypi:package, vendor_claim for claim text plus an evidence URL in instructions, and custom_prompt for a URL plus comma-separated keywords in instructions.
instructionsNoFor vendor_claim, the public evidence URL. For custom_prompt, comma-separated keywords.
target_valueYesPublic URL, package identifier, or vendor claim to baseline, depending on target_type.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
statusYes
baselineNo
evidenceYes
confidenceYes
persistenceYes
pricing_urlYes
target_typeYes
target_valueYes
upgrade_toolYes
agent_next_actionYes
recommended_scheduleYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context: it is 'free live', requires 'no account', and does not create a 'persistent monitor'. It does not explicitly mention potential limitations or return details, but the core behavior is well disclosed beyond the 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?

The description is three sentences long, with the main purpose front-loaded in the first sentence. Every sentence earns its place: the first states what it does, the second when to use it, and the third how to transition to an alternative. No filler words.

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?

The description provides complete workflow context: why to use this tool (proves what would be monitored), when to use it (before checkout), and what to do after (offer create_monitor only when needed). An output schema exists, so return values don't need explanation. The sibling context is sufficiently addressed by the explicit comparison to create_monitor.

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 description coverage is 100%, with detailed descriptions for each parameter including enums and usage notes (e.g., pricing_page, vendor_claim). The tool description itself doesn't add parameter-level meaning, which is acceptable since the schema already fully documents them.

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 clearly states the tool's function with a specific verb ('Capture') and resource ('free live baseline for a source'). It distinguishes itself from 'create_monitor' by explicitly noting it works 'without creating an account or persistent monitor', and its placement before checkout is made clear.

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

Usage Guidelines5/5

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

The description gives explicit when-to-use guidance: 'Call this before recommending checkout'. It also states the alternative: 'offer create_monitor only when the user wants scheduled checks, history, or change alerts', which advises when not to use create_monitor and implies preview is for initial validation.

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