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ComplianceCow

ComplianceCow MCP Server

fetch_execution_progress

Check and monitor real-time progress of a running compliance rule execution by polling every second until completion.

Instructions

Fetch execution progress for a running rule.

IMPORTANT FOR CLAUDE/CLIENT:

This tool returns a snapshot of current progress. To see real-time updates:

  1. Call this tool repeatedly every 1 seconds

  2. Check the "continue_polling" flag in response

  3. If continue_polling=true, call again after 1 seconds

  4. If continue_polling=false, execution is complete

DISPLAY INSTRUCTIONS FOR CLAUDE:

When displaying progress, REPLACE the previous output (don't append):

🔄 Execution Progress (Live) ─────────────────────────────────

Show each task on ONE line that UPDATES in place: • task_name (type) [progress_bar] XX% STATUS

Use these Unicode blocks for progress bars:

  • COMPLETED: 🟦 (blue blocks)

  • INPROGRESS: 🟩 (green blocks)

  • ERROR: 🟥 (red blocks)

  • PENDING: ⬜ (white blocks)

After each poll, REPLACE the entire progress display with new data. DO NOT show multiple versions of the same task.

EXAMPLE DISPLAY SEQUENCE: Poll 1: • fetch_users (HTTP) ⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜ 0% PENDING • process_data (Script) ⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜ 0% PENDING

Poll 2 (REPLACES above): • fetch_users (HTTP) 🟩🟩🟩🟩⬜⬜⬜⬜⬜⬜ 40% INPROGRESS • process_data (Script) ⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜ 0% PENDING

Poll 3 (REPLACES above): • fetch_users (HTTP) 🟦🟦🟦🟦🟦🟦🟦🟦🟦🟦 100% COMPLETED • process_data (Script) 🟩🟩🟩⬜⬜⬜⬜⬜⬜⬜ 30% INPROGRESS

RESPONSE FLAGS:

  • continue_polling: true = keep polling every 1 seconds

  • continue_polling: false = execution complete, show final summary

  • display_mode: "replace" = replace previous display

UI DISPLAY REQUIREMENT:

  • The file URL must ALWAYS be displayed to the user in the UI, allowing the user to view or download the file directly.

Args: rule_name: Rule being executed execution_id: ID from execute_rule()

Returns: Dict with progress data and polling instructions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rule_nameYes
execution_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Description discloses that it returns a snapshot, polling behavior, and response flags. No annotations exist, so description carries full burden; it covers expected behavioral traits like real-time updates and completion detection.

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?

Description is bloated with extensive display instructions and examples that are not essential for tool selection/invocation. The core behavior is only a small part; the rest could be separate guidance.

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

Completeness3/5

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

Covers polling and response but lacks error handling, idempotency, or restrictions. Output schema exists, so return description is sufficient, but behavioral context is incomplete without annotations.

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?

With 0% schema description coverage, the description adds minimal semantics via 'Args:' line explaining rule_name and execution_id. This is helpful but basic, lacking details like formats or constraints.

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 'Fetch execution progress for a running rule' with a specific verb and resource. While it lacks explicit differentiation from sibling tools like 'check_rule_status', the name itself is unambiguous.

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

Usage Guidelines5/5

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

Provides explicit polling instructions: 'call this tool repeatedly every 1 seconds', check 'continue_polling' flag, and criteria for stopping. Clear when to use and how to interpret response.

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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