Skip to main content
Glama

list_votable_neurons

Retrieve a list of votable neurons for a specific DAO using the provided Principal ID. Simplify participation in governance and decision-making processes within the MCP SNS Server.

Instructions

List all votable neurons

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daoNameNoDAO name
principalIdYesPrincipal ID
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, rate limits, or what the output format looks like (especially since there's no output schema).

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 with zero waste. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given the complexity (a list operation with 2 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'votable neurons' are, how results are returned, or any prerequisites, leaving significant gaps for the agent to understand the tool fully.

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 description coverage is 100%, so the schema already documents both parameters (daoName and principalId). The description adds no additional meaning about parameters beyond what's in the schema, such as explaining what 'votable neurons' are in relation to these inputs. Baseline 3 is appropriate 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 ('List') and resource ('votable neurons'), making the purpose understandable. However, it doesn't differentiate from the sibling tool 'list_proposals' (which presumably lists proposals rather than neurons), so it misses full sibling distinction.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention the sibling tool 'list_proposals' or any other context for choosing between them, leaving the agent without usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/baolongt/sns-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server