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Glama

ComOS Federation

by io.github.ronrey

federation_catalog_search_multi

Read-onlyIdempotent

Search products (flat — one row per variant) across multiple tenants in parallel. Pass tenant_ids as an array of tenant IDs or "all" for every active tenant. Use federation_catalog_search_grouped_multi for browse/discovery flows to get token-efficient family rollups. tenant_ids come from federation_list_tenants (or pass "all"). Public read — auth_token is optional. Returns: { results: [{ tenant_id, status, data?, error? }], summary: { total_tenants, succeeded, failed } } Example: call federation_catalog_search_multi with arguments {"tenant_ids":"","query":""}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results per tenant
queryYesSearch query string
categoryNoFilter by category
auth_tokenNoOptional JWT auth token
tenant_idsYesArray of tenant IDs to search, or "all" for all active tenants

Schema Changelog

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

  1. Changed3 schema fields changed
    • addedInput schema / properties / auth_token / maxLength
      Added value: +4000
    • addedInput schema / properties / category / maxLength
      Added value: +4000
    • addedInput schema / properties / query / maxLength
      Added value: +4000
  2. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnly and idempotent hints, the description discloses that it is a public read with optional auth_token, and that it operates in parallel across tenants. It also outlines the return structure, adding meaningful behavioral context.

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 information-dense but well-organized, starting with purpose, then usage, alternatives, source, auth, return format, and an example. It is slightly verbose but each sentence contributes value, so it remains appropriate in length.

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?

The description fully explains the return format (results with tenant_id, status, data, error; summary with totals) and provides example arguments. It covers purpose, usage, and output, making it complete for a read-only search tool without an output schema.

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?

While the schema already covers parameter descriptions, the description adds context by noting that tenant_ids can be 'all' or come from federation_list_tenants, and provides an example call. This enhances understanding beyond the schema.

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 clearly states that the tool searches products across multiple tenants in parallel, returning flat results (one row per variant). It also distinguishes itself from the grouped variant, which aids in purpose clarity.

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?

Explicitly instructs to use federation_catalog_search_grouped_multi for browse/discovery flows, providing a clear alternative. Also mentions that tenant_ids come from federation_list_tenants, giving actionable guidance on obtaining required inputs.

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

A3.6/5.0
Disambiguation4/5

Tools are grouped by clear domain prefixes (federation_*, introspection_*, moltbook_*) with each targeting a distinct resource+action (bond_post/release/status, key_challenge/bind/status, journal_append/read). The primary near-overlap — catalog_search_multi vs catalog_search_grouped_multi — is explicitly disambiguated in descriptions. Minor confusion risk exists among the four knowledge tools (federation_help, federation_why, about_us_about, how_to_about) but their purposes (how/why/manual/walkthrough) are distinct enough.

Naming Consistency3/5

The dominant `federation_<verb>_<noun>` pattern (create_tenant, list_agents, bond_release) is strong, but it's mixed with bare-noun tools (federation_arena, federation_offer, federation_solvency, federation_pricesheet, federation_help) and noun-noun variants (federation_manager_tree, federation_tenant_info). Non-federation tools use a loose `<domain>_<verb>` or single-token convention (legal_get, web_research, about_us_about). Readable overall, but conventions are noticeably mixed across the surface.

Tool Count2/5

At 72 tools this crosses the 50+ threshold for an extreme count. While the federation's scope is genuinely broad (manager lifecycle, tenants, catalog, agents, bonds, keys, journal, canon, introspection, social, email, research), the surface is bloated — roughly 15 bare introspection tools (list_nodes, probe, confidence, diff, coverage_gaps, co_decisions, climb_history, change_graph, change_reach, corpus_*) cover meta-self-knowledge that could plausibly collapse into fewer verbs. Agents would face a very large selection space.

Completeness5/5

The tool surface is exhaustively complete for the federation domain: applicant and operator sides of admittance, full manager lifecycle (create/list/freeze/attest/bond/key), full tenant lifecycle (create/list/info/update/suspend/delete/enter), catalog discovery with change-detection, pricing, solvency, latency, journaling, governance, legal, and even external outreach (email/moltbook/research). No dead ends exist — every write has a corresponding read/status path, and branched platform tools are intentionally deferred behind enter_tenant rather than omitted.

Resources