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Vivado MCP

Vivado MCP

by binghin2
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_messages

Retrieves synthesis and implementation messages such as errors and warnings, optionally filtered by severity, so AI assistants can diagnose Vivado build issues.

Instructions

Get synthesis/implementation messages (errors, warnings)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_messages"
  }
}

Input Schema

NameRequiredDescriptionDefault
severityNoFilter by severity: 'all' (default), 'error', 'critical', 'warning'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description carries minimal behavioral disclosure. It states the tool gets messages but does not mention whether it is read-only, requires prior synthesis/implementation, or any side effects. The agent lacks information about prerequisites or system impact.

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, front-loaded sentence with no redundant words. Every word serves a purpose, achieving maximal conciseness.

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?

Given the simple one-parameter schema, no output schema, and no annotations, the description is adequate but lacking. It does not explain return format, pagination, or behavior when no messages exist. For a minimal tool, it is passable but not comprehensive.

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% (the single 'severity' parameter is fully described in the schema). The tool description adds no extra parameter meaning beyond what the schema already provides, so baseline 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 verb 'Get' and the resource 'synthesis/implementation messages', specifying the content type (errors, warnings). It implicitly distinguishes from sibling tool 'get_simulation_messages' by emphasizing synthesis/implementation rather than simulation.

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 provided on when to use this tool versus alternatives like get_simulation_messages. No prerequisites or conditions are mentioned, leaving the agent to infer usage from the resource name alone.

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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