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find_artifacts

Find artifacts of ANY one type across the catalog — the cross-type entry point. Each type also has a dedicated find_ tool (find_mcp, find_rules, find_scopes, …) with sorts and filters unique to that type; prefer those when you know the type. Types: mcp, skills, rules, arazzo, plans, rate-limits, finops, collections, asyncapis, graphql, json-ld, channels, examples, json-schemas, json-structures, openapis, postman, apis-json. PRO: scopes, security. include=["content"] inlines bodies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
pageNo
tagsNo
typeYes
limitNo
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

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses a useful behavior ('include=["content"] inlines bodies') and hints at a filter ('PRO: scopes, security'), but it does not explicitly state that the operation is read-only, nor does it mention pagination limits or rate limits. The 'PRO' line is cryptic and may confuse an agent. The description is not contradictory, but it leaves the safety profile implicit.

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?

The description is front-loaded with the core purpose and differentiator, then follows with the type list and a brief note about 'include'. It is not overly verbose, but the 'PRO: scopes, security' line is cryptic and adds little without explanation. Still, the structure is efficient and the information density is reasonable.

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 8 parameters, no output schema, and no annotations, an agent needs guidance on how to construct a query, handle pagination, and interpret results. The description only covers type enumeration and the 'include' option. It does not mention default behaviors (beyond schema defaults), sorting, or response format. The tool is complex enough that this level of incompleteness would likely lead to incorrect calls or confusing results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 13% (1 of 8 params). The description adds value by enumerating the valid 'type' values (mcp, skills, rules, etc.) and explaining the effect of 'include', but it does not explain 'q', 'tags', 'providers', 'limit', or 'page'. These parameters are simply left to their schema definitions, which lack descriptions. Given the low schema coverage, the description does not compensate enough for the missing parameter meanings.

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 opens with 'Find artifacts of ANY one type across the catalog — the cross-type entry point,' giving a clear verb, resource, and scope. It explicitly differentiates itself from the dedicated find_<type> siblings, naming several examples, which makes the purpose unmistakable.

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?

The description states 'Each type also has a dedicated find_<type> tool ... prefer those when you know the type.' This gives explicit when-to-use vs. when-not-to-use guidance, identifying the alternative category and the condition for choosing it. The agent is told to use this tool as the cross-type fallback.

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