Tally MCP Server

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. It mentions identifying 'potential issues or dead ends' but doesn't specify what types of issues, whether the analysis is read-only, if it requires specific permissions, or what the output format might be. This leaves significant gaps for a validation tool.

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

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

The description is a single, efficient sentence that front-loads the core purpose ('analyze and validate') without unnecessary words. Every part earns its place by specifying the resource and outcome, making it highly concise and well-structured.

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

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

Given the tool's complexity (analyzing form logic flow), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'potential issues or dead ends' entail, the analysis methodology, or return values, leaving the agent with insufficient context for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, documenting the 'blocks' parameter as an array of form blocks. The description adds no additional parameter semantics beyond implying analysis of logical flow, so it meets the baseline of 3 without compensating for or contradicting the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('analyze and validate') and resource ('logical flow of a form'), distinguishing it from siblings like 'validate_multiple_choice_logic' which focuses on a specific logic type. However, it doesn't explicitly differentiate from all siblings (e.g., 'create_conditional_logic_block'), keeping it from 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.

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 'validate_multiple_choice_logic' or 'get_form_questions', nor does it mention prerequisites or exclusions. Usage is implied through the purpose but lacks explicit context for selection.

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