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 and does well by disclosing key behavioral traits: authentication requirements ('If not authenticated with CData Sync, you will be prompted for credentials'), constraints on running jobs, and the need to use exact table names. It also mentions job types and task addition timing, adding valuable operational context beyond basic functionality.

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 moderately concise but could be more front-loaded; it starts with core functionality but includes detailed job type explanations that might be better in parameter documentation. Some sentences, like the job type list, feel redundant given the schema. However, it avoids excessive verbosity and stays focused on key points.

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 high complexity (32 parameters, no annotations, no output schema), the description provides adequate context for a write operation tool by covering purpose, constraints, and authentication. However, it lacks details on error responses, return values, or interaction with sibling tools like execute_job, leaving some gaps for a tool of this scope.

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 schema description coverage is 100%, so the schema already documents all 32 parameters thoroughly. The description adds minimal parameter-specific information beyond restating job types from the schema and emphasizing exact table name usage, which is partially covered in the schema's queries description. This meets the baseline of 3 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 as 'Create, modify, or delete data replication jobs' with specific verbs and resource, and distinguishes it from siblings by mentioning job orchestration with scheduling, transformations, error handling, and notifications. It explicitly differentiates from read-only siblings like read_jobs by indicating write operations.

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 clear context for when to use this tool (for managing replication jobs) and includes important constraints like 'Cannot modify/delete running jobs' and 'Add tasks after creating the job.' However, it doesn't explicitly mention when to use alternatives like execute_job for running jobs or read_jobs for viewing jobs, though the purpose implies this distinction.

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