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avivsinai

langfuse-mcp

find_exceptions_in_file

Retrieve exception details from a specific file within a configurable time range. Choose between compact summary, full JSON string, or saving full data to a file.

Instructions

Get detailed exception info for a specific file.

Args:
    ctx: Context object containing lifespan context with Langfuse client
    filepath: Path to the file to search for exceptions (full path including extension)
    age: Number of minutes to look back; capped by the configured maximum
    output_mode: Controls the output format and detail level

Returns:
    Based on output_mode:
    - compact: List of summarized exception details
    - full_json_string: String containing the full JSON response
    - full_json_file: List of summarized exception details with file save info

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filepathYesPath to the file to search for exceptions (full path including extension)
ageYesNumber of minutes to look back (positive integer, max 7 days/10080 minutes)
output_modeNoControls the output format and action. 'compact' (default): Returns a summarized JSON object optimized for direct agent consumption. 'full_json_string': Returns the complete, raw JSON data serialized as a string. 'full_json_file': Returns a summarized JSON object AND saves the complete data to a file.compact

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses that the 'age' parameter is capped by a configured maximum and details the three output modes. However, it does not mention whether the operation is read-only, has side effects, or requires specific permissions. With no annotations, this gap reduces transparency.

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

Conciseness4/5

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

The description is well-structured with 'Args' and 'Returns' sections, though it is somewhat lengthy. The Returns section is informative and justified, but it could be slightly more concise.

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

Completeness4/5

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

Given the tool's complexity (3 parameters, output schema exists), the description adequately covers return formats and the age cap. It does not address error handling or prerequisites, but it provides sufficient context for most usage scenarios.

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?

The input schema has 100% description coverage for all three parameters, so the description adds minimal extra meaning. It repeats the schema's parameter descriptions without enhancing them, resulting in the baseline score.

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

Purpose4/5

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

The description clearly states 'Get detailed exception info for a specific file,' specifying the verb and resource. However, it does not differentiate from the sibling tool 'find_exceptions', which likely serves a similar but broader purpose.

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 like 'find_exceptions' or other tool. The description lacks context about appropriate scenarios, prerequisites, or exclusions.

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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