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Check Platform Safety

check_platform_safety
Read-onlyIdempotent

Safety record for a platform: customer-funds hacks, incidents, regulatory actions and security score, with sources and the safety page URL.

Input Schema

NameRequiredDescriptionDefault
platformYesPlatform name, e.g. 'Coinbase', 'Ledger', 'Robinhood'

Output Schema

NameRequiredDescriptionDefault
answerYesOne-paragraph direct answer
caveatNo
licenseNoData license / reuse terms
categoryNo
platformYes
attributionYesAlways 'Source: VaultRubric (vaultrubric.com)'; include when citing.
methodologyNoURL of the scoring methodology
safety_pageNo
security_criterionNo
customer_funds_hackNo
related_comparisonsNo
incidents_and_regulatoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds the nature of the returned content but no operational behaviors (rate limits, caching, auth). No contradiction with 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.

Conciseness4/5

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

One compact sentence that front-loads the resource and then lists contents; no filler or repetition. It is a noun fragment rather than a sentence, but 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?

With an output schema present, the description need not explain return values, and annotations cover the safety profile; the field enumeration gives enough for a one-parameter read tool to be called correctly. The missing piece is usage context versus get_platform and compare_platforms.

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?

There is a single parameter with 100% schema description coverage ('Platform name, e.g. Coinbase, Ledger, Robinhood'). The description adds nothing about the platform parameter beyond the schema, so the baseline 3 for high-coverage schemas 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 — the safety record for a platform — and enumerates its contents (hacks, incidents, regulatory actions, security score, sources, safety page URL), which distinguishes it from the generic get_platform sibling. It lacks an explicit verb and never names the sibling it differs from, so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no routing to alternatives such as get_platform or compare_platforms. The agent must infer usage entirely from the field list.

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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