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Citation Safe Verifier

Search known AI-hallucinated (phantom) case citations

search_phantoms
Read-only

Searches CitationSafe's phantom-citation registry — fabricated case names/citations that have shown up in real, sanctioned AI-hallucination incidents — by case name or the AI system that produced them. Read-only, public data. Returns an empty array (not an error) if nothing matches or the registry has no entries yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFree-text match against the phantom case name or the AI system that generated it

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds value by clarifying the empty array return behavior and that data is public, going beyond 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 two concise sentences, front-loaded with purpose, no unnecessary 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?

With full schema coverage, clear annotations, and description handling edge cases (empty array), the tool is completely specified for its simple purpose. No output schema needed as return behavior is described.

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 the parameter description covering free-text matching. The description reiterates this but doesn't add significant new syntactic details beyond the schema.

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 it searches a phantom-citation registry by case name or AI system. It distinguishes itself from siblings like verify_citation which handles real citations, and specifies the registry is for known hallucinated citations.

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?

The description indicates it's read-only and public data, and explains that an empty array (not error) is returned for no matches. While it doesn't explicitly name alternatives, the sibling tool names provide context for when to use this tool vs others.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct operation: citation verification on pasted text, on document URLs, batch verification, retrieving past results, and searching sanctions. No overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with underscores (e.g., verify_citation, batch_verify_citations, search_sanctions), making the tool set predictable.

Tool Count5/5

Five tools is well-scoped for citation verification: single, document, batch, retrieval, and sanctions search. No redundant or excessive tools.

Completeness4/5

Core verification workflows (single, document, batch, retrieval) are covered. A listing endpoint for all verifications is missing but not critical for typical use.

Resources