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service_details

Details of one Vextorium service: what it does, its price in USDC, the JSON input it accepts (schema) and an example. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceYesService id from search_services, e.g. 'token-safety'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does disclose useful traits: this is a read-only inspection call and it is 'Free', which signals no cost side effects in contrast to a paid call_service. It does not cover auth requirements or rate limits, but the cost/read-only disclosure is genuine value beyond structured data.

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?

A single sentence with zero waste, front-loading what the tool is ('Details of one Vextorium service') before the return contents and the cost note. Every clause earns its place.

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

Completeness4/5

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

For a one-parameter read tool with no output schema, the description is nearly complete because it enumerates the returned fields (behavior, price, input schema, example). The only gap is workflow guidance relative to call_service, which is minor given the low complexity.

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 coverage is 100% and the single 'service' parameter is already documented in the schema (id from search_services, example 'token-safety'). The description adds no parameter-level detail beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource ('one Vextorium service') and enumerates exactly what is retrieved: what it does, price in USDC, input JSON schema, and an example. This contrasts implicitly with the plural search_services, though no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: the tool takes a service id (documented in the schema as coming from search_services), so the natural workflow is search-then-inspect. There is no explicit when-to-use statement, no mention of call_service as the alternative for actually invoking a service, and no exclusions.

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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