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claim_product_request_for_builder

Mint a paste-ready Builder claim recipe for a FreedomOS product request so a host coding agent (Grok Build / Claude Code) with Harness + gstack can implement the class fix. Pins the FreedomOS frontier coding model (TIER_ROLES.frontier). Does NOT run the coding agent or open a PR by itself — use after product team accepted the request. FreedomOS product-inbox members only.

[write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdNoFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
request_idYesrequest_id UUID from submit_product_request
stamp_claimNoIf true (default), stamp context_payload.builder_claim {claimed_at, frontier_model, by} on the card.

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It honestly states the tool's scope (does not execute or open PR) and mentions approval nuances ('first use may require manager's approval'). It also notes that it pins the frontier coding model. This is transparent for a write-tier tool.

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 a single paragraph but efficiently conveys purpose, limitations, usage context, and permissions. It is front-loaded with the core action. The write-tier approval note is appended usefully. Some jargon ('paste-ready', 'Harness + gstack') may slightly reduce clarity, but overall it's concise.

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?

Given the tool has 3 parameters and no output schema, the description covers its role in a workflow, when to use it, and behavioral boundaries. It explains the approval model. However, it does not describe what the claim recipe looks like or what happens after minting, which could be more complete for an agent.

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?

Input schema has 100% coverage, so the baseline is 3. The description adds minimal extra context beyond the schema; it mentions stamp_claim defaults to true and relates to the claim recipe, but doesn't explain the companyId or request_id beyond what the schema already provides. It does not compensate for any gaps.

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 uses the strong verb 'Mint' and specifies the exact resource 'Builder claim recipe for a FreedomOS product request'. It clearly distinguishes that this tool prepares a recipe for a coding agent but does not execute it, differentiating it from siblings like submit_product_request or open_product_request_draft_pr.

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 states explicitly when to use ('after product team accepted the request') and what it does NOT do ('Does NOT run the coding agent or open a PR by itself'). It also limits usage to 'FreedomOS product-inbox members only'. While it doesn't name specific alternative tools, the behavioral exclusion provides guidance.

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

The tool set is heavily disambiguated by detailed routing descriptions, domain prefixes, and lifecycle verbs, so most tools have a clear intended purpose. However, at 297 tools there are still close pairs and overlapping decision surfaces (e.g., approval workflows, 'what should I work on' readers, multiple finance/ads readers) that require careful description reading to avoid misselection.

Naming Consistency4/5

Naming is predominantly consistent snake_case verb_noun with strong domain prefixes like shopify_, x_, posthog_, and list_/create_/update_ patterns. Minor inconsistencies exist, such as several collection-returning tools using get_ (get_team_members, get_icps, get_okrs) instead of list_, and some generate_ vs create_ vs draft_ verbs, but the pattern is still predictable overall.

Tool Count1/5

297 tools is an extreme outlier and far beyond a usable MCP tool surface. Even a large suite has no justification for this count in one server; the agent would struggle to select among hundreds of similarly descriptive tools, and the natural 3-15 tool range is exceeded by nearly 20x.

Completeness4/5

The individual domains represented — OKRs, CRM/leads, Shopify, content pipelines, ads, PostHog, team hiring, knowledge, finance, and session management — are covered remarkably well with full lifecycle patterns. Minor gaps exist, such as no full deal CRUD, no delete for several Google/Shopify artifacts, and some analytical surfaces being read-heavy, but most workflows can be completed without dead ends.

Resources