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get_provider_business_capabilities

UNDERSTANDING — what ONE vendor's published APIs let a business DO, rolled up by capability, with the tag-level evidence under each. Answers "what is this vendor actually for" from its own contracts rather than its marketing. NOT get_provider_capabilities, which is artifact counts and agent-readiness dimensions and is free. Understanding plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
contextNoOptional: why you are asking. One sentence — the task you are trying to complete, or what you expect to get back. Never included in the answer and never used to rank; it is read only when a result turns out to be wrong, which is when knowing the intent is what makes the report actionable.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden and delivers: it discloses plan gating (Understanding plan vs free), evidence sourcing behavior (from its own contracts rather than marketing), and the output structure (capability rollup with tag-level evidence under each). It stops short of return-format details or entitlement/error behavior, but the meaningful behavioral traits are present.

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 compact sentences, front-loaded with the core purpose and arranged so the scoping and the sibling distinction land naturally at the end. Every sentence earns its place: the plan indicator, the purpose, and the routing note are all load-bearing.

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 low-complexity tool (2 params, no output schema, no annotations), the description is nearly complete: it conveys scope, plan implications, evidence sourcing, and an overview of the return shape. Minor gaps remain — no explicit note on the response as a data structure or what happens when the Understanding plan is unavailable — but the essentials for selecting and invoking it are covered.

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 50%: the optional context parameter is well documented in the schema, while slug has no description. The description partially compensates by implying slug identifies the vendor ('ONE vendor's published APIs'), but it adds no format, examples, or accepted-value guidance for slug. Adequate but not rich.

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 states precisely what the tool returns: ONE vendor's published business capabilities, rolled up by capability with tag-level evidence, sourced from its own contracts rather than marketing. The explicit contrast with the get_provider_capabilities sibling disambiguates it without opening either schema.

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?

It names the exact alternative (get_provider_capabilities) and the distinguishing conditions: artifact counts and agent-readiness dimensions on the free side vs. business capabilities from contracts on the Understanding plan side. The phrase 'Answers what is this vendor actually for' gives the agent a clear trigger condition for choosing this tool.

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

B3.1/5.0
Disambiguation3/5

Most tools are clearly separated by artifact type or resource (find_mcp vs find_openapi vs get_provider vs get_api), but the sheer volume creates some genuinely confusable clusters: apis_io_search vs find_apis vs find_artifacts, and insights_adoption vs insights_dimensions vs find_company_insights. Several readiness-related tools (what_can_i_fix, simulate_fixes, readiness_gates) also share a conceptual boundary, though their descriptions do help.

Naming Consistency3/5

The dominant patterns (find_*, get_*, cohort_*, compare_*) are consistent and predictable, but the set mixes in irregular names like apis_io_search, tag_group_tags, what_can_i_fix, whats_changed, and resolve. These deviations are readable but break the otherwise regular verb_noun convention.

Tool Count2/5

106 tools is far beyond the typical well-scoped server and will impose a heavy selection burden on agents. The server covers a genuinely broad domain (catalog search, ratings, cohorts, agent readiness, lists, exports, feedback), so the count is defensible in scope, but it is still too many to navigate efficiently.

Completeness5/5

The surface is remarkably complete: search and browse, single-entity detail, comparisons, cohort analytics, agent-readiness assessment, saved searches, list management, feedback/correction flows, and full dataset exports are all covered. There are no obvious dead ends, and even minor operations like re-running saved searches or simulating fixes are present.

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