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dbgprobe-mcp-server

dbgprobe-mcp-server

by es617
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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dbgprobe.svd.set_field

Modify a single register field on a debug probe's target by reading, altering, and writing back the register value. Accepts enum or integer inputs.

Instructions

Read-modify-write a single register field. Reads the current register value, modifies the specified field, and writes back. Accepts enum names (e.g. 'PullUp') or integer values.

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": {
      "session_id": "<session_id>",
      "field": "<field>",
      "value": "<value>"
    },
    "name": "dbgprobe.svd.set_field"
  }
}

Input Schema

NameRequiredDescriptionDefault
fieldYesField target: 'PERIPHERAL.REGISTER.FIELD' (e.g. 'GPIO.PIN_CNF[3].PULL').
valueYesNew field value — enum name (e.g. 'PullUp') or integer.
session_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the full burden of transparency. It discloses the read-modify-write sequence and the ability to accept enum names or integers. However, it does not mention side effects, failure modes, or return value, which would be helpful for a hardware debug tool.

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 two concise sentences that are front-loaded with the core action. Every sentence adds value with no redundancy or filler.

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 no output schema and no annotations, the description covers the main process but lacks details on return value, error handling, and session_id context. This leaves some ambiguity for the agent in interpreting outcomes.

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 description coverage is 67%; the descriptions for 'field' and 'value' in the schema are already clear. The description adds no new information beyond the schema content. The 'session_id' parameter lacks a description in both schema and description, representing a gap.

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 ('Read-modify-write a single register field'), specifies the resource ('single register field'), and distinguishes from siblings like svd.read, svd.write, and svd.update_fields by targeting a single field with atomic read-modify-write. The example format further clarifies the field notation.

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 usage for single field modification but does not explicitly compare to alternatives like svd.update_fields or svd.write, nor does it provide conditions for when not to use this tool. No guidance on prerequisites or error conditions is given.

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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