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abhinav7895

Bolna MCP Server

by abhinav7895

bolna_get_execution_raw_logs

Retrieve raw debug logs for a call execution, including LLM prompts, requests, responses, and reasoning, to debug and analyze agent behavior.

Instructions

Fetch raw debug logs for a call execution including LLM prompts, requests, responses, and reasoning

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
execution_idYesThe execution ID whose raw logs to retrieve
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It discloses the log contents but does not mention the read-only nature, required permissions, output size, or side effects. It lacks transparency on important behavioral aspects.

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

Conciseness5/5

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

The description is a single, clear sentence with the verb upfront. No extraneous words, and every part adds value.

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 simple input (one parameter) and no output schema, the description covers the essential purpose. It could mention the format or size of logs, but for a raw logs retrieval tool, the description is adequately complete.

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 coverage is 100% with the execution_id parameter already described as 'The execution ID whose raw logs to retrieve.' The tool description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the action ('Fetch') and the specific resource ('raw debug logs for a call execution'), and details the contents (LLM prompts, requests, responses, reasoning). It distinguishes itself from siblings like 'bolna_get_execution' by emphasizing 'raw' logs.

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

Usage Guidelines3/5

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

The description implies a debugging use case but does not explicitly state when to use this tool versus alternatives like 'bolna_get_execution' for summary logs. No when-not-to-use guidance is provided.

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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