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Files-com

Files.com MCP Server

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by Files-com

List Api Request Log

List_Api_Request_Log
Read-only

Retrieve a paginated list of API request logs, with filters for fields like API key, request method, success status, and timestamps.

Instructions

List API Request Logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoUsed for pagination. When a list request has more records available, cursors are provided in the response headers `X-Files-Cursor-Next` and `X-Files-Cursor-Prev`. Send one of those cursor value here to resume an existing list from the next available record. Note: many of our SDKs have iterator methods that will automatically handle cursor-based pagination.
per_pageNoNumber of records to show per page. (Max: 2000, 1,000 or less is recommended).
filterNoIf set, return records where the specified field is equal to the supplied value. Valid fields are `api_key_id`, `interface`, `request_id`, `request_ip`, `request_method`, `success`, `user_id` or `created_at`.
filter_gtNoIf set, return records where the specified field is greater than the supplied value. Valid fields are `created_at`.
filter_gteqNoIf set, return records where the specified field is greater than or equal the supplied value. Valid fields are `created_at`.
filter_prefixNoIf set, return records where the specified field is prefixed by the supplied value. Valid fields are `interface`, `request_id`, `request_ip` or `request_method`.
filter_ltNoIf set, return records where the specified field is less than the supplied value. Valid fields are `created_at`.
filter_lteqNoIf set, return records where the specified field is less than or equal the supplied value. Valid fields are `created_at`.
fieldsNoOptional list of attribute names to include as columns in the response table. When omitted, a sensible default set is used. Useful for narrowing wide entities or surfacing fields not in the default.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already mark readOnlyHint=true, and the description adds no behavioral details such as pagination, filtering, or what constitutes an API request log. It does not contradict annotations but fails to add value beyond them.

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

Conciseness2/5

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

The description is extremely brief (4 words) but this is under-specification, not conciseness. It does not earn its place as it adds no information beyond the tool name.

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

Completeness1/5

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

Given the tool's complexity (9 parameters, output schema, many sibling list tools), the description is far from complete. It explains nothing about the resource, return values, or when to use it.

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 description coverage is 100% for all 9 parameters, with detailed parameter descriptions. The tool description adds no further semantics, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

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

The description 'List API Request Logs' states the verb and resource clearly, but it is essentially a tautology of the tool name and provides no differentiation from sibling log list tools like List_Action_Log or List_Email_Log.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools for different logs, an agent lacks context to choose correctly.

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

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