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cathrynlavery

Tally MCP Server

get_form_questions

Retrieve all questions associated with a specific form by providing its ID, enabling users to manage and analyze form data efficiently with the Tally MCP Server.

Instructions

Get list of questions for a specific form

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formIdYesThe ID of the form
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'Get list of questions', implying a read-only operation, but does not specify if it requires authentication, returns paginated results, includes metadata, or handles errors. For a tool with no annotations, this leaves significant behavioral gaps.

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 no wasted words, making it easy to parse. It is front-loaded with the core action and resource, which is ideal for quick understanding.

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 no annotations and no output schema, the description is incomplete. It does not explain what the returned list of questions includes (e.g., question text, types, options) or any behavioral aspects like error handling. For a tool with 1 parameter and no structured output, more context is needed to be fully helpful.

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 input schema has 100% description coverage, with 'formId' clearly documented as 'The ID of the form'. The description adds no additional meaning beyond this, as it does not explain the format of 'formId' or provide context on where to obtain it. Baseline 3 is appropriate when the 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 'Get' and the resource 'list of questions for a specific form', making the purpose understandable. However, it does not distinguish this tool from sibling tools like 'get_form_submission' or 'get_form_submissions', which also retrieve form-related data but for different resources, so it lacks sibling differentiation.

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, such as 'get_form_submissions' (which might include questions along with submissions) or 'get_tally_form' (which could provide form details including questions). There is no mention of prerequisites, exclusions, or specific contexts for usage.

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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