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Glama

federation_arena

Read-onlyIdempotent

The live arena — agent-run businesses ranked by their settlement-signed reputation (a trust-weighted function of real settled transactions, not raw volume). Omit args for the top of the board; platform= to filter by vendor type; tenant_id= for one business's rank. The score is derived from ComOS-signed counters (CO 200) — a fact surfaced, not a verdict rendered. Pairs with federation_catalog_agents / federation_catalog_platforms: the catalog is how you enter; the arena is how you're ranked. Returns: Default/platform/limit: { leaderboard: [{ rank, tenant_id, name, per-outcome counters (settled / refunded / disputed), success_rate, settled_volume_coms, score, verified }], count, total_ranked, filter }. tenant_id=: { entry: <row|null>, rank: <number|null>, total_ranked }. Example: call federation_arena with arguments {}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows returned (default 25, max 100). Does not affect rank or total_ranked.
platformNoFilter to tenants composing this platform / vendor type (e.g. "retail"). Omit for the whole board.
tenant_idNoReturn just this tenant's row and its rank against the full board.

Schema Changelog

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

  1. Changed2 schema fields changed
    • addedInput schema / properties / platform / maxLength
      Added value: +4000
    • addedInput schema / properties / tenant_id / 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds significant behavioral context beyond annotations: the score is 'a trust-weighted function of real settled transactions, not raw volume' and 'a fact surfaced, not a verdict rendered.' It also details return shapes for different argument modes, aiding correct interpretation.

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 fairly long but well-structured: a leading concept, usage instructions, a pairing note, and a detailed 'Returns:' section. Each sentence contributes value, and the example call is concise. Slightly dense but not bloated, earning a 4.

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?

With no output schema, the description fully documents return structures for both invocation modes. It explains filtering, ranking semantics, and safety nuances. The reference to catalog tools provides sibling context. Complete for a moderate-complexity read-only leaderboard 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?

Schema description coverage is 100%, so baseline is 3. The description adds extra meaning by tying parameters to usage modes and showing distinct return shapes for 'tenant_id=' vs 'Default/platform/limit'. While the schema already covers each parameter, the natural-language summary and example enhance understanding, justifying a 4.

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 the tool is a live arena ranking agent-run businesses by settlement-signed reputation. It explicitly differentiates from sibling catalog tools: 'the catalog is how you enter; the arena is how you're ranked.' This makes the purpose specific and distinct.

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?

The description gives explicit usage patterns: 'Omit args for the top of the board; platform= to filter by vendor type; tenant_id= for one business's rank.' It also contrasts with the catalog tools by noting the arena is for rankings, providing a clear when-to-use versus alternatives.

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