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find_scopes

OAuth scope catalogs across the catalog. The OAuth scopes an API defines. Understanding plan. Filter by q / tags / providers; include=["content"] inlines bodies. Use find_artifacts for cross-type search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFree text over name + description.
pageNo
sortNoOrder: name, or scope_count (largest first).
tagsNoTag slugs. On PROVIDERS this is identity — what the company says it does, from its own apis.yml. A resource or operation term (webhook, saml, order, oai-pmh) will correctly match no provider; use find_apis?tags= for those, or api_tags below.
limitNo
matchNoany
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.
includeNo
providersNo

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does add useful behavior by explaining that include=['content'] inlines bodies and that filters like q/tags/providers affect results. It omits pagination, sorting defaults, response shape, and any side-effect or authorization notes, leaving meaningful gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The important routing and filter guidance is short and mostly front-loaded. However, 'OAuth scope catalogs across the catalog' is redundant and 'Understanding plan.' is vague filler that adds no actionable information.

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

Completeness2/5

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

With nine parameters, no output schema, and no annotations, the description leaves critical invocation details unexplained: pagination semantics, match behavior, providers format, and what the result set looks like. It names one sibling alternative and one include option, but an agent would still need to guess several call decisions.

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 only 44%, so the description needed to compensate for undocumented parameters. It adds some meaning by clarifying include and naming the filterable fields, but it provides no semantics for page, limit, match, or the acceptable format of providers. The include explanation keeps this above baseline, but not by much.

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 identifies the tool as providing OAuth scopes defined by APIs and points to the sibling find_artifacts for cross-type search, which helps differentiate it. However, it lacks an explicit verb like 'find' or 'search' and includes the awkward phrase 'OAuth scope catalogs across the catalog.'

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 explicitly names find_artifacts as the alternative for cross-type search, giving the agent a direct routing rule. It also lists available filters, implying the tool is for OAuth-scope-specific queries. It doesn't provide broader when-not-to-use guidance against other find_* siblings, so it stops short of a 5.

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.

Resources