Skip to main content
Glama

list_engineer_history

Retrieve past KodeKloud Engineer tasks, tickets, and results, including status, points, and completion timestamps. Filter by Success, Failed, or Expired to review performance history.

Instructions

List historical tasks, tickets, and results on KodeKloud Engineer.

Inspects past completed, failed, or expired tasks, tracks, points awarded, and completion timestamps.

Args: limit: Maximum number of historical task records to return (default: 10). status: Optional filter by status: 'Success', 'Failed', or 'Expired'.

Returns: EngineerHistoryResponse with historical task records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
statusNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesTotal count of historical tasks returned.
errorNoError message if the operation or upstream request failed.
tasksNoHistorical task records.
warningNoDiagnostic warning or configuration guidance message.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral load. It makes the read-only nature clear via 'List'/'Inspects' and documents the default limit and the status filter, but says nothing about authentication, rate limits, result volume beyond the limit, or ordering of results.

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?

Front-loaded summary sentence followed by clearly labelled Args and Returns sections; every line carries information. The Returns line is slightly redundant given an output schema exists, but overall it is tight.

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?

With only two optional parameters, an output schema present, and a status enum supplied in prose, an agent has what it needs to invoke the tool correctly. The remaining gap is behavioral context such as ordering and result-window semantics, which is minor here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description is the only source of parameter meaning — and it delivers: limit is defined as the max records with a default of 10, and status enumerates the accepted values 'Success', 'Failed', 'Expired'. That enum list is genuine added value, since the schema itself declares only an untyped anyOf string/null with no allowed values.

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 gives a specific verb+resource: it lists historical tasks, tickets and results on KodeKloud Engineer, and scopes them as past completed/failed/expired tasks. It is clearly distinct in intent from the singular get_engineer_task sibling, though it never names that sibling to reinforce the contrast.

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?

Usage is implied by 'Inspects past completed, failed, or expired tasks, tracks, points awarded, and completion timestamps', which tells the agent this is the historical-record retrieval path. There is no explicit statement of when to prefer this over get_engineer_task or any other sibling, and no exclusions or prerequisites.

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