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FactGrid (Renamed to FactReason)

by io.github.factgridai

Auth and error playbook

factreason_auth_playbook
Read-onlyIdempotent

Get publisher-declared authentication schemes, scopes, rate-limit headers, and error codes for one third-party API. Returns a structured playbook or nearest service suggestions, and marks undocumented details as unstated rather than guessing. Uses metered access. Prefer factreason_integration_brief when assembling a complete API call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceYesThird-party API service, e.g. "Stripe", "Twilio", or "Cloudflare"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundNo
compactNo
messageNo
playbookNo
nearestServicesNo

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, non-destructive. Description adds behavioral details: returns structured playbook or suggestions, marks unstated fields, and uses metered access. This goes 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?

Three concise sentences, front-loaded with action and outcome, then details, then alternative. No wasted 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?

Given output schema exists and annotations cover safety, the description fully explains purpose, behavior, and alternatives. Missing details (return format) are covered by 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?

Schema has 100% coverage with description and examples. Description adds nothing about the parameter beyond 'one third-party API', which is implicit. Baseline 3 is appropriate.

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?

Description names specific resource ('publisher-declared authentication schemes, scopes, rate-limit headers, and error codes') and scope ('one third-party API'), clearly distinguishing from siblings by pointing to factreason_integration_brief.

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

Usage Guidelines5/5

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

Explicitly says to prefer factreason_integration_brief for complete API calls, indicating when not to use this tool. Also notes metered access, giving cost-related guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All FactGrid (Renamed to FactReason) toolsInspect
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TDQS

A4.3/5.0
Disambiguation4/5

Most tools clearly target distinct tasks, and the descriptions cross-reference each other (e.g., package_upgrade_advisory vs api_breaking_changes, api_schema vs integration_brief). However, a few tools overlap in conceptual space—especially factreason_api_schema, factreason_auth_playbook, and factreason_integration_brief—so an agent may need to read the descriptions carefully.

Naming Consistency3/5

All names share the factreason_ prefix and snake_case, but the naming pattern is mixed: some are noun phrases (api_schema, auth_playbook, deprecation_scan) while others use imperative verbs (create_key, discover_api, subscribe_spec_changes). The names are readable and not chaotic, but they do not follow a single predictable convention.

Tool Count5/5

Eleven tools is well within the appropriate range, and the count fits the broad API-intelligence scope. Each tool seems to earn its place by covering a distinct phase of researching, comparing, or subscribing to API and package metadata.

Completeness3/5

The set covers discovery, schemas, auth, breaking changes, deprecation, package upgrades, and component spec lookup, which is a reasonably deep surface. However, the subscription feature creates watches but provides no tool to list, cancel, or delete them, and there is no balance/key management tool beyond key creation and top-up links.

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