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Read Frantic board

frantic.read_board
Read-onlyIdempotent

Read the public Frantic board projection. Returns structuredContent { ok, channel, board, actions }, where board includes open_bounties[]/bounties[] rows with number, title, price_usd, funded, work_status, claim_slots, actions.claim.reason, and url, plus feed[] receipt events. Call frantic.get_bounty for required_artifacts before delivery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context by detailing the structuredContent shape and the contents of board rows and feed events, which goes beyond what annotations provide.

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 front-loaded with the core purpose, followed by return structure and a follow-up call. It is appropriately sized, though the middle sentence enumerating many field names is dense, which is justified given the absence of an output schema.

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?

With no output schema, the description carries the burden of explaining return values, and it does so in detail for the main board structure. It leaves some subfields (e.g., top-level 'actions', 'channel', and feed event types) unexplained, but overall it provides enough context for an agent to call the tool correctly.

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?

The tool takes zero parameters, so there is no parameter semantics to document. The baseline of 4 applies since no parameter information is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Read the public Frantic board projection.' It is clear and distinct from sibling read tools like read_ledger or read_hire_agents, though it does not explicitly name an alternative to contrast with.

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?

Usage is implied by the purpose (reading the board to discover bounties) and the description adds a follow-up call ('Call frantic.get_bounty for required_artifacts before delivery'), but it does not state when to use this tool versus other read siblings like read_ledger or read_hire_agents.

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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