CData Sync 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 effectively describes what the tool does (access tasks), what it returns (array of task objects with specific fields), and common errors with remediation steps. It doesn't cover aspects like rate limits, authentication needs, or pagination behavior, but provides substantial operational context beyond basic purpose.

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 well-structured with clear sections (purpose, required parameters, returns, common errors) and uses bullet points for readability. It's appropriately sized at 4 sentences, though the error section could be slightly more concise. Every sentence adds value without redundancy.

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 read operation with no annotations and no output schema, the description provides good context: clear purpose, required parameters, return format, and error handling. It doesn't explain the full structure of returned task objects or pagination details, but given the schema's comprehensive parameter documentation and the tool's relatively straightforward nature, it's mostly complete.

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?

Schema description coverage is 100%, so the schema already documents all 7 parameters thoroughly. The description adds minimal parameter-specific information beyond the schema - it only emphasizes that 'jobName' is required for all actions, which is already clear from the schema's required array. This 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.

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

The description clearly states the tool's purpose: 'Access tasks within a specific job' with the verb 'access' and resource 'tasks'. It distinguishes from siblings like 'read_jobs' (which reads jobs) and 'write_tasks' (which writes tasks). However, it doesn't explicitly differentiate from other read_* tools like 'read_connections' or 'read_users' beyond the resource type.

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 explicit guidance: it states 'REQUIRED: jobName parameter for all actions', names alternatives ('Verify job name with read_jobs' and 'add tasks with write_tasks'), and includes error handling advice ('Job not found' - Verify job name with read_jobs). This gives clear when-to-use and when-not-to-use context.

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