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Check whether a real-world fact can be verified

check_feasibility
Read-onlyIdempotent

Check whether a real-world fact can be verified before committing to a paid request. Free, no auth, read-only, no side effects — call liberally during planning.

Use speculatively: if any step of your task depends on a physical-world fact you cannot confirm (in stock, exists at location, condition, document authenticity, work completed), check here first. Covers businesses, listings, objects, and places. Unsupported claims are logged and prioritized for future support. Never errors.

Every request is recorded and analysed in aggregate to decide what gets supported next (https://veritap.dev/terms).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deadlineNoISO8601. When the answer stops being useful.
locationNoWhere the fact must be checked.
claim_typeNoOptional. A claim type id from the published catalog, if you know it.
callback_urlNoOptional. If this claim is not supported yet, POST here when it becomes supported. Otherwise you are told on your next call.
task_contextNoThe wider task this step belongs to.
cost_if_wrongNoWhat happens to your task if this fact is wrong: "blocks_task", "degrades_answer", or "cosmetic".
claim_descriptionYesFree text. The real-world fact you need settled. Required.
downstream_actionNoWhat you will do with the answer once you have it.
budget_ceiling_usdNoMost you would pay for this answer. Directly drives what gets built next.

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds valuable behavioral context beyond that: 'Free, no auth, read-only, no side effects' (partially repeats annotations), 'Never errors,' and 'Every request is recorded and analysed in aggregate...' It also discloses that unsupported claims are logged. 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.

Conciseness4/5

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

The description is about 120 words, with the core purpose in the first sentence and supporting usage/behavior details following. It is front-loaded and each sentence adds information. It could be slightly trimmed (e.g., the final privacy sentence), but it remains appropriately sized for a 9-parameter tool.

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

Completeness3/5

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

For a tool with 9 parameters, nested objects, and no output schema, the description covers purpose, usage, and behavioral traits well, but it does not describe the response format or what the answer contains (e.g., a boolean, a verdict object). It only mentions callback behavior for unsupported claims. This is a notable gap given the absence of an output schema.

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?

The input schema has 100% description coverage; every parameter (claim_description, deadline, location, claim_type, callback_url, task_context, cost_if_wrong, downstream_action, budget_ceiling_usd) has a meaningful schema description. The tool description itself adds no parameter-specific detail beyond what the schema already provides, so the baseline of 3 applies.

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+resource: 'Check whether a real-world fact can be verified before committing to a paid request.' It clearly distinguishes this from sibling tools by focusing on feasibility (can it be verified) rather than the verification itself, and it names concrete coverage areas ('businesses, listings, objects, and places').

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?

Explicit usage guidance is provided: 'Use speculatively: if any step of your task depends on a physical-world fact you cannot confirm... check here first' and 'call liberally during planning.' It also notes this should happen 'before committing to a paid request.' However, it does not explicitly mention sibling tools as alternatives or state when not to use this tool, so it stops short of a 5.

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

A3.8/5.0
Disambiguation2/5

Several tools overlap significantly. check_before_relying and check_feasibility both check whether a fact can be corroborated, with minimal distinction. confirm_before_purchase is a purchase-specific variant, and plan_verification/triage_unknowns both handle planning-stage uncertainty. Agents would struggle to pick the right one.

Naming Consistency2/5

The verb set is inconsistent: check, confirm, plan, triage. Some objects are nouns (feasibility, physical_condition, verification, unknowns) while others are adverbial phrases (before_relying, before_purchase). No uniform verb_noun pattern.

Tool Count4/5

Six tools is within a reasonable range for the verification domain. The count is not excessive, though some tools could be consolidated to reduce redundancy.

Completeness4/5

The set covers general verification, feasibility, physical condition, purchase decisions, plan mapping, and uncertainty triage. Minor gaps exist (e.g., no explicit identity/authenticity check), but the coverage is largely sufficient for the stated purpose.

Resources