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vc_portfolio

UNDERSTANDING — A VC firm's portfolio companies, each matched to the network and rated. Filter is_provider=true (only API providers), in_network=true, band, or min_score; sort by score (default), api_count, or name. The demand-side view of who a fund has backed. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bandNoRating bands: exemplar, strong, developing, thin, minimal.
pageNo
slugYes
sortNo
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.
min_scoreNo
in_networkNo
is_providerNoOnly portfolio companies that publish an API on the network.

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It discloses filtering behavior, default sorting, and that the tool is free, which is helpful. However, it does not mention whether the operation is read-only, what the response contains, or any pagination or access limitations.

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?

The description is compact and front-loaded: it states the object in the first sentence, then concisely lists filters and sorting behavior. The final 'Free' and demand-side framing add useful context without waste. Every sentence contributes.

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

Completeness3/5

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

Given nine parameters, no annotations, and no output schema, the description provides a reasonable orientation but leaves gaps: it does not explain the required slug paramater, pagination behavior, or expected return shape. It is adequate for a simple filtered list, but not fully complete for an unannotated tool.

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

Parameters4/5

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

With schema description coverage at only 33%, the description compensates meaningfully by explaining is_provider, in_network, band, min_score, and sort defaults. It clarifies that score is the default sort and that is_provider=true targets API providers, adding value the schema alone does not fully provide. Required slug and page remain undocumented, but the description still covers most functional paramaters.

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 clearly identifies the resource as a VC firm's portfolio companies and explains the core purpose: listing and filtering companies that are matched to the network and rated. It adds useful conceptual framing with 'the demand-side view of who a fund has backed,' which differentiates it from sibling tools like get_vc or find_vcs, though it does not name them explicitly.

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

Usage Guidelines3/5

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

It implies usage by describing the demand-side portfolio view and available filters, but it never states when to choose this tool over alternatives such as get_vc, find_vcs, or compare_providers. There is clear context, but no explicit when-to-use or when-not-to-use guidance.

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