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dscovr

surveymonkey-mcp

by dscovr

surveymonkey_get_me

Retrieve the current user's account details to confirm API credentials work and view the associated username and email.

Instructions

Returns information about the current SurveyMonkey user. Useful to verify the token is working and to see the username and email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.5/5.0
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. The phrase 'Returns information' plus the specific purpose of token verification clearly indicates a read-only operation with no side effects. It could explicitly state 'no modification is made,' but for a zero-parameter identity endpoint this is sufficiently transparent.

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?

Two concise sentences with no redundant wording. The core function is front-loaded in the first sentence, and the second sentence adds practical usage guidance. Every phrase earns its place.

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

Completeness5/5

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

For a no-parameter tool with an output schema, the description covers all an agent needs: what the tool does, what key fields it returns, and when to use it. No missing information would prevent correct invocation.

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?

There are zero parameters and schema coverage is 100% (empty properties object), so no parameter documentation is needed. The description still adds value by specifying the returned fields (username and email), which is the relevant semantic content.

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 states a specific verb and resource: 'Returns information about the current SurveyMonkey user.' It clearly distinguishes this from all sibling tools, none of which target the current user/account, making the purpose unambiguous.

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 provides explicit use context: 'Useful to verify the token is working and to see the username and email.' While it doesn't name alternatives, no sibling tool offers the same functionality, so no exclusion is needed.

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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