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what_can_i_fix

INFLUENCE — the ranked, costed, gated punch list for one provider you own. Every agent-readiness check with points still on the table (exact — these are real per-check results, each with what satisfies it), plus the Kin Score facets ranked by weight x headroom rather than by lowest score. do_first is the headline and prefers a BAND GATE over any amount of points, because points cannot clear a gate. Use readiness_gates for the gate detail and simulate_fixes to price a plan before committing to it.

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

A4.8/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and meets it: it discloses that results are real exact per-check outcomes, that ranking is by weight x headroom, and that `do_first` prioritizes a BAND GATE over points because "points cannot clear a gate." This explains non-obvious ordering behavior an agent could not infer from the schema.

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 deliverable and stays lean, but it packs in product-specific jargon ("INFLUENCE", "BAND GATE", "Kin Score facets") that is not explained. It is appropriately sized, just less immediately parseable than it could be.

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 no output schema and no annotations, the description supplies enough to invoke the tool correctly and interpret results: it enumerates the content areas, explains the headline field, and points to sibling tools for more detail/pricing. It does not spell out an exact return shape, but the described contents make that omission acceptable.

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?

The required `slug` field has no schema description, so the tool description's "one provider you own" usefully identifies what slug must reference. The `context` parameter is already fully explained in the schema and needs no description-level repetition.

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 names a specific deliverable — a "ranked, costed, gated punch list" — and scopes it to "one provider you own." It also distinguishes its ranking approach from sibling tools by specifying Kin Score facets and `do_first`, so an agent can separate it from readiness_gates, simulate_fixes, and get_agent_readiness.

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 gives explicit context: this is for a single provider the agent owns and for checks that still have "points on the table." It names the two alternatives and when to use them: "Use readiness_gates for the gate detail and simulate_fixes to price a plan before committing to it."

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