Skip to main content
Glama

KnowledgeOwl MCP by usefulapi

List search suggestions

knowledgeowl_list_suggestions
Read-only

List search suggestions / reader search analytics (what readers searched for). KnowledgeOwl API: GET /suggest.json. Returns { valid, page_stats, data:[...] }.

Input Schema

NameRequiredDescriptionDefault
_pageNoKnowledgeOwl pagination page number, 1-based.
paramsNoAdditional documented query-string filters/operators to send verbatim (merged with the typed params above).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description only needs to add beyond that. It does add the underlying endpoint (GET /suggest.json) and the response envelope { valid, page_stats, data:[...] }, which is useful. It says nothing about pagination limits, result ordering, or retention window, so it remains adequate rather than rich.

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?

Three compact fragments, front-loaded with the purpose and the clarifying gloss before the endpoint and return shape. Nothing is wasted; the slight terseness of the '/' separated clauses costs a little readability but not correctness.

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?

No output schema exists, and the description compensates by sketching the return envelope, which is the main thing an agent would otherwise lack. For a read-only, zero-required-parameter list tool with a nested passthrough object, that is close to sufficient; only the shape of individual suggestion records and pagination behavior are left unstated.

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 description coverage is 100%, so both parameters (_page and the passthrough params object) are already documented and the baseline is 3. The description adds nothing about which query-string filters are accepted in params, which is the one place the schema cannot help, so no credit above baseline.

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?

States a specific verb and resource ('List search suggestions') and disambiguates with 'reader search analytics (what readers searched for)', which is genuinely clarifying since 'suggestions' could be misread as synonym/term suggestions. It does not explicitly contrast with the closest sibling (knowledgeowl_list_synonyms), so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no exclusions, and no mention of alternatives such as knowledgeowl_list_synonyms or the generic knowledgeowl_request escape hatch. The agent must infer from the name alone that this is the analytics-listing call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.