Inspect an output JSONL file on disk

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It states the operation is read-only ('Reads... reports'), and notes it is independent of any in-memory job, which is a key behavioral trait. While it does not detail error handling or file-missing behavior, the read-only nature is clearly implied by the verb and the context.

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 two sentences with no waste. The core function and output are stated first, followed by a practical use case. It 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.

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

The description explains what the tool returns (entry count and highest id), which effectively covers the output since there is no output schema. It also provides the primary use case and notes independence from in-memory state. Minor gaps like error conditions or file assumptions are not critical for a simple read tool with one optional parameter.

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% for the only parameter (outFile), which already specifies its default. The tool description does not add any additional meaning about the parameter beyond what the schema provides. Since the schema fully covers it, the description adds no extra value here, matching the baseline for high 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 reads a JSONL dataset file from disk and reports entry count and highest id fetched. It explicitly distinguishes itself from in-memory operations and names a specific use case (checking progress after server restart), which differentiates it from sibling tools like islamweb_crawl_status.

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 a clear context of when to use it ('after restarting the MCP server to see how far a previous crawl got'). It does not explicitly mention alternatives or when not to use it, but the stated scenario is specific enough for an agent to understand its primary purpose.

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