Skip to main content
Glama
billyatminyawns

WellSaid Claude Connector

Get pronunciation respelling suggestions

wellsaid_get_respelling_suggestions
Read-only

Get respelling suggestions for a word to control pronunciation in text-to-speech. Use them in an AI Director tag to ensure accurate speech output.

Instructions

Get WellSaid respelling suggestions for a word. Use the returned value in an inline AI Director tag, e.g. pizza, to control pronunciation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYesThe word or term to look up.
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds valuable behavioral context by explaining that the output is intended for a specific tag format, which is beyond what annotations provide. It does not contradict annotations.

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 sentences, no filler. The first sentence states the action and target, the second explains how to use the result. Information is front-loaded and every sentence earns its place.

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

Completeness4/5

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

For a simple one-parameter lookup tool with no output schema, the description covers purpose and usage sufficiently. It could elaborate on the exact return format (e.g., whether it returns a single string or a list), but the included example makes the expected output clear enough for an agent to invoke it correctly.

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 coverage is 100% because the single 'word' parameter has a description ('The word or term to look up.'). The tool description adds no further parameter semantics beyond restating that it's for a word, so it meets the baseline for high schema coverage.

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 action ('Get WellSaid respelling suggestions') and identifies the resource (a word), which clearly distinguishes it from sibling tools focused on voices, clips, and speech generation. It is not a tautology and provides concrete use context.

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 gives a clear usage context: use the returned value in an inline AI Director tag to control pronunciation. It does not explicitly name alternatives or exclusion criteria, but the guidance is sufficient for a unique lookup tool with no overlapping siblings.

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

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/billyatminyawns/wellsaid-connector'

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