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federation_search

Read-onlyIdempotent

Route a natural-language intent to the right platform on the ComOS network — the first thing to call. Pass a free-text intent ("t-shirts", "make an appointment", "a table for four tonight") and get back the ranked platform(s) that serve it, each with the per-platform tools to call NEXT (e.g. bookings → appointment_search). This returns a ROUTE, not a transaction: it tells you where to go; you then act on that platform with the chosen tenant. An intent no platform serves returns an empty route (unroutable: true), never a silent default. Fast and deterministic — the same intent always routes the same way. Returns: A route: ranked platforms (platform_id, label, why_matched, score, entry_points) plus unroutable:true when no platform serves the intent. Example: call federation_search with arguments {}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax ranked platforms to return (default: all matches)
intentYesThe natural-language need to route, e.g. "make an appointment"

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the annotations (read-only, idempotent, non-destructive), the description adds behavioral details: it is fast and deterministic, returns an empty route with `unroutable:true` when no platform matches, and explicitly states it is not a transaction. This gives agents a clear expectation of side-effect-free behavior and failure handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly repetitive, restating the same information multiple times (e.g., the purpose is repeated in various phrasings, the return type is described twice). It also contains a typo ("An intent platform serves returns an empty route") which hampers readability. The core content could be conveyed in a concise paragraph.

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?

Despite its verbosity, the description covers all critical aspects: input (intent), output (ranked platforms with tools), edge cases (empty route when no platform matches), and behavioral characteristics (fast, deterministic, not a transaction). It also provides an example call. Thus, it is functionally complete for an agent to understand and use the tool.

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?

The schema already provides descriptions for both `intent` and `limit`. The description adds value by giving concrete examples for `intent` (e.g., "t-shirts", "make an appointment") which clarifies the natural-language input format. However, `limit` is not elaborated beyond its schema text, and the example call uses `{}` without discussing `limit` behavior.

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's purpose: routing a natural-language intent to the right platform on the ComOS network. It gives concrete examples ("t-shirts", "make an appointment") and explicitly clarifies it returns a route, not a transaction, distinguishing it from typical action-oriented tools.

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

Usage Guidelines4/5

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

The description explicitly says "the first thing to call," establishing it as the entry point for intent resolution. It also explains that after receiving a route, the caller should act on the chosen platform with the specified tools, providing clear next-step guidance. The example call with `{}` further demonstrates usage.

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

B3.4/5.0
Disambiguation3/5

Most tools have distinct purposes, but there is overlap among introspection tools (introspection_system_probe vs. introspection_system_confidence vs. introspection_system_diff) and between similar reading tools (federation_canon_get vs. federation_tenant_info). Descriptions help clarify but boundaries are not always crisp.

Naming Consistency2/5

Naming is inconsistent: some tools use verb_noun (federation_bond_post, federation_bond_release), some use noun_verb (federation_arena, federation_help), and some use noun_noun (about_us_about, moltbook_read). There are also tools with dot separators (about_us_about) and camelCase (cohort_email_send) mixed with snake_case, making patterns unpredictable.

Tool Count2/5

With 72 tools, the surface is extremely large and likely to overwhelm agents. While the server covers a complex federation platform, this many tools suggest poor scoping or lack of consolidation, making it hard for agents to discover and choose the right tool.

Completeness3/5

The server covers core federation lifecycle (create/list/update/delete tenants, manage managers, bonds, keys) and some platform operations, but there are gaps such as missing tenant deletion workflow details, no explicit tool for updating manager info, and no direct tool for tenant-level settings beyond basic update. The introspection suite is thorough but the domain may not be evenly covered.

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