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Glama

search_knowledge

Search the knowledge base with optional filters.

Full-text search across all knowledge entries. Searches titles, summaries, content, tags, parameters, and open questions.

Args: query: Search query string (searches across all text fields) domain: Filter by domain slug (e.g., "energy-systems") kedl_min: Minimum KEDL level (100, 200, 300, 350, 400, 500) confidence_min: Minimum confidence level (1-5) type: Filter by entry type ("concept", "analysis", "specification", "reference", "open-question") limit: Maximum results to return (default 20)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
limitNo
queryYes
domainNo
kedl_minNo
confidence_minNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the search scope (fields searched, filter options) but does not explicitly state read-only behavior, authentication needs, rate limits, pagination, or behavior when no results are found. It is a search tool, so read-only is implied, but not fully transparent.

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 front-loaded with the purpose, followed by a compact Args block. Each sentence adds value, no filler. The list format is scannable and precisely documents all six parameters and defaults.

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?

The description covers purpose, search scope, and every parameter with values/defaults. An output schema exists, so return format need not be described. The only gap is explicit usage guidance relative to siblings, but overall it is complete for a search tool.

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

Parameters5/5

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

The schema has no descriptions (0% coverage), but the description's Args section thoroughly explains every parameter: query text fields, domain slug format, valid KEDL levels, confidence range, type allowed values, and default limit. This fully compensates for the schema gap and adds critical meaning.

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 starts with 'Search the knowledge base with optional filters', which uses a specific verb ('search') and resource ('knowledge base'). It further clarifies scope by listing searched fields (titles, summaries, content, tags, parameters, open questions), clearly distinguishing it from sibling tools like read_node or get_domain_stats.

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?

The description clearly implies the tool is for full-text search with filters, but it does not explicitly state when to use it instead of alternatives or provide exclusions. Sibling tools like get_domain_stats and read_node are not mentioned, so usage context is implied rather than explicit.

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

A4.2/5.0
Disambiguation5/5

Each tool has a distinct purpose: retrieving entries, cross-references, parameters, stats, open questions, domains, search, registration, and submission. No two tools appear to perform the same function, and the descriptions clarify when to use each.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case: get_cross_references, list_domains, read_node, submit_proposal, etc. The verb prefixes (get, list, read, search, register, submit) align with their operations, making the pattern predictable.

Tool Count5/5

With 9 tools, the set is well-scoped for a knowledge base system. Each tool covers a core functionality (retrieval, search, stats, submission, registration) without redundancy or bloat, striking the right balance for the stated purpose.

Completeness4/5

The tool surface covers the main workflows: reading, searching, cross-referencing, statistics, and submission. Minor gaps exist, such as no direct listing of all entries in a domain and no update/delete operations for submissions, but these are workable around and do not severely hinder typical usage.