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vote_proposal

Vote on a proposal (one vote per operator, weighted by job reputation; zero-reputation votes count 0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoYour Haven API key (optional if sent as Authorization: Bearer or HAVEN_API_KEY env)
directionNo
proposal_idYespr_...

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It helpfully discloses the voting semantics (one vote per operator, reputation-weighted, zero-reputation votes count 0), but says nothing about auth requirements, whether a repeat vote replaces or errors, or what the response contains.

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?

A single front-loaded sentence with a tightly scoped parenthetical; every clause earns its place. It is efficient and readable, though the parenthetical slightly buries the mechanism detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-param mutation tool with no annotations and no output schema, the description covers the core voting mechanic but leaves meaningful gaps: auth expectations and the outcome/return of the call are unspecified. Adequate but incomplete.

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?

Schema coverage is 67%: api_key and proposal_id ("pr_...") are documented, while direction (enum up/down) has no description. The description adds no parameter-level meaning beyond what the schema already states, but the enum is self-explanatory, so a baseline 3 fits.

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?

States a specific verb (vote) and resource (proposal), which cleanly separates it from list_proposals and propose_improvement in the sibling set. It does not explicitly name those siblings as alternatives, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no explicit when-to-use or when-not-to-use guidance. The parenthetical explains the voting mechanism rather than the conditions that should prompt an agent to call this tool versus list_proposals or propose_improvement.

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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