Skip to main content
Glama

create-todo-linked-resource

Destructive

Associate a task with an email, file, or web page to provide context and track the resource that spurred the task.

Instructions

Create a linkedResource object to associate a specified task with an item in a partner application. For example, you can associate a task with an email item in Outlook that spurred the task, and you can create a linkedResource object to track its association. You can also create a linkedResource object while creating a task.

💡 TIP: Links a resource to a To Do task. Body: { webUrl: 'https://...', applicationName: 'Mail', displayName: 'Related email', externalId: 'optional-id' }. Use to link tasks to emails, files, or web pages for context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
todoTaskListIdYesPath parameter: todoTaskListId
todoTaskIdYesPath parameter: todoTaskId
includeHeadersNoInclude response headers (including ETag) in the response metadata
excludeResponseNoExclude the full response body and only return success or failure indication
Behavior3/5

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

Annotations already indicate a write operation (readOnlyHint=false). Description confirms it creates an association and provides an example, but does not disclose additional behavioral traits like permissions or side effects beyond what annotations provide.

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

Conciseness4/5

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

The description is front-loaded with the purpose and includes a practical tip. The second paragraph repeats some content, so it could be slightly more concise, but overall it is efficient.

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

Completeness3/5

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

Given the complexity (nested body parameter) and absence of output schema, the description names required parameters (todoTaskListId, todoTaskId) but lacks information about return values or error cases. It adequately covers usage but is incomplete regarding output.

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 high (80%). The description adds an example body with fields like webUrl, applicationName, displayName, externalId, which helps understanding but does not add significant meaning beyond the schema.

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 clearly states the tool creates a linkedResource to associate a task with an item in a partner application (e.g., email in Outlook). It distinguishes itself from siblings like 'create-todo-task' and 'list-todo-linked-resources'.

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 context on when to use (link tasks to emails, files, web pages) and gives an example body. It implicitly guides away from using for task creation, but lacks explicit 'when not to use' statements.

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/Softeria/ms-365-mcp-server'

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