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get-proposal-votes

Retrieve governance proposal votes on the Osmosis blockchain to analyze community sentiment and participation in decision-making processes.

Instructions

Returns votes for a specific governance proposal

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposalIdYesThe proposal ID
limitNoOptional: maximum number of votes to return (default 10)
Behavior2/5

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 but only states the basic function. It doesn't mention whether this is a read-only operation, if it requires authentication, rate limits, pagination behavior, or what the return format looks like. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

Conciseness5/5

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

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a simple retrieval tool and is perfectly front-loaded with the core functionality.

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

Completeness2/5

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

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the return values look like (vote structures, pagination, error conditions) or provide behavioral context needed for proper use. The 100% schema coverage helps with inputs but doesn't compensate for the lack of output information.

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 description coverage is 100%, so the input schema already documents both parameters thoroughly. The description doesn't add any additional meaning beyond what's in the schema (e.g., format of proposal IDs, default behavior when limit is omitted). This meets the baseline expectation when schema does the heavy lifting.

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 clearly states the verb ('Returns') and resource ('votes for a specific governance proposal'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get-proposal-details' or 'get-proposal-tally' that also retrieve proposal-related information, which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get-proposal-details' or 'get-proposal-tally', nor does it mention any prerequisites or context for usage. It simply states what the tool does without indicating appropriate scenarios.

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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