search_tasks
Search for tasks by title, content, or tags using fuzzy matching to quickly find relevant items in Dida365.
Instructions
搜索任务。可以按标题、内容、标签进行模糊搜索。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | 搜索关键词 |
Search for tasks by title, content, or tags using fuzzy matching to quickly find relevant items in Dida365.
搜索任务。可以按标题、内容、标签进行模糊搜索。
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | 搜索关键词 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits. It mentions fuzzy search but does not state if the tool is read-only, whether it returns all results, or any side effects.
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, concise sentence that efficiently conveys the tool's purpose without unnecessary words.
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?
For a simple search tool with one parameter and no output schema, the description adequately covers the functionality. It could mention that tasks are returned, but overall it is sufficient.
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 description adds context by stating the query applies to title, content, and tags, beyond the schema's 'search keyword' description. This helps the agent understand how the parameter is used.
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 searches tasks and specifies the searchable fields (title, content, tags), distinguishing it from sibling tools like get_all_tasks or get_tasks_by_priority.
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?
No guidance is given on when to use search_tasks versus other tools. The description describes what it does but not when it is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Martinqi826/dida-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server