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Glama

Fidenta Verify

top_up

Buy more verification credits without leaving the conversation. Call with confirm false (or omit it) to see the price, the card on file and the remaining monthly limit; call again with confirm true once the user has agreed. Charges the card the user already saved and authorised for in-chat top-ups — if no card is saved, or the bank requires the cardholder present, it returns a secure checkout link instead of charging.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoTrue only after the user has explicitly agreed to the charge. Never set this on your own initiative.

TDQS

A4.7/5.0
Behavior5/5

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

It discloses the financial side effect (charging the saved card), the need for user consent, and the fallback to a secure checkout link when no card or cardholder presence is required. This goes well beyond annotations' readOnlyHint=false and idempotentHint=false.

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 sentences: purpose, call pattern, and charge behavior/fallback. No filler, immediately actionable.

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?

For a single-boolean-parameter tool, the description covers the full workflow, expected outputs (price, card, limit, or checkout link), and edge cases. No output schema exists, so this description carries that burden well.

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

Parameters4/5

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

The schema already documents confirm's meaning (only true after explicit agreement). The description adds the orchestration detail of calling with false first to gather details, then true to execute, which enriches the parameter's usage semantics.

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 action ('Buy more verification credits') and the context ('without leaving the conversation'). It distinguishes this from sibling tools by being the only purchasing tool among check_usage, estimate_claims, recall_claim, and verify_claims.

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 provides a concrete two-step calling pattern: first with confirm false/omitted to preview, then with confirm true after user agreement. This is explicit usage guidance, though it doesn't mention exclusions or alternative tools for other scenarios.

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 serves a distinct function: usage monitoring, cost estimation, historical lookup, credit purchase, and actual verification. There is no semantic overlap between the tool purposes.

Naming Consistency4/5

Four tools follow a verb_noun pattern (check_usage, estimate_claims, recall_claim, verify_claims), but top_up is a phrasal verb deviating from this pattern. Still, all names are imperative and consistently lowercase with underscores.

Tool Count5/5

Five tools is a well-scoped set for a credit-based verification service. Each tool earns its place, covering the essential actions without redundancy or bloat.

Completeness4/5

The set covers the full verification workflow: estimate cost, verify claims, recall prior verifications, check usage, and top up credits. A minor gap is that recall_claim only checks whether a claim was verified, not retrieving the previous verdict, but the core lifecycle is complete.

Resources