Agentic Backlog MCP Server

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Get board as console table

backlog.get_console_table

Retrieve a console-table board snapshot for a project to view backlog status at a glance. Pass project_id to get an immediate, readable overview of tasks.

Instructions

Returns a console-table style board snapshot from backlog API.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>"
    },
    "name": "backlog.get_console_table"
  }
}

Input Schema

Name	Required	Description	Default
`limit`	No
`project_id`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.3Sep 20, 2026

TDQS

C2.4/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation but does not state side effects, authorization needs, pagination behavior, or output format details beyond 'console-table style.' This is a minimal disclosure with important gaps.

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

Conciseness3/5

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

The description is a single efficient sentence with no verbose filler, which is good for conciseness. However, the phrase 'from backlog API' adds little value, and the lack of structured detail limits the effectiveness of the overall definition.

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?

The tool has no output schema, no parameter descriptions, and no annotations, yet the description provides only a one-line summary. Important details such as what a 'console table' contains, how limit behaves, and what project_id refers to are entirely absent, leaving the tool inadequately specified.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate by explaining parameters, but it mentions neither project_id nor limit. An agent cannot infer what values to supply or what the limit controls, making parameter semantics essentially undocumented.

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 states a clear verb-resource pair: 'Returns a console-table style board snapshot from backlog API.' It conveys that the tool fetches a board and formats it as a console table. However, it does not distinguish itself from the similarly named sibling backlog.get_board, so it stops short of full differentiation.

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?

The description gives no guidance on when to use this tool versus alternatives such as backlog.get_board or backlog.list_tasks. There are no usage conditions, exclusions, or context cues that would help an agent select between the siblings.

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