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Interpret

interpret

Decode logic analyzer captures to extract protocol commands or render display framebuffers, outputting to logs or PNG images.

Instructions

Run an upper decoder on a DecodeJob. Default sink is command_log. Add framebuffer for PNG.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinksNo
widthNo
heightNo
job_idNo
decoderNomipi_dcs
out_dirNo
profileNo
col_offsetNo
row_offsetNo
max_commandsNo
decode_job_idNo
max_intermediate_framesNo
save_intermediate_framesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal two useful behaviors ('Default sink is command_log' and 'Add framebuffer for PNG'), but fails to mention whether the operation mutates state, requires prior decoding, what side effects occur, or what the output actually contains.

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?

The two sentences are free of fluff and front-load the primary verb, which is good. But for a tool with 13 undocumented parameters and no annotations, this is severe under-specification rather than appropriately concise prose; it omits essential structure and context.

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?

For a complex 13-parameter tool with zero annotation coverage and zero schema descriptions, the description is far too thin. It leaves the meaning of 'upper decoder', the purpose of most parameters, and the operational context entirely to inference, even though an output schema exists to cover return values.

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% across 13 parameters, and the description adds almost no parameter-level meaning. It alludes to sink and framebuffer concepts but never maps them to the schema's sinks, width, height, decoder, out_dir, profile, offsets, or limits, leaving the agent to guess the roles of nearly all parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Run an upper decoder') on a specific resource ('DecodeJob'), which gives a basic anchor. However, 'upper decoder' is domain jargon that is not explained, and there is no distinction from sibling tools like bus_decode or display_reconstruct, leaving the exact purpose ambiguous.

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 usage context is provided: the description never says when to use this tool versus alternatives, nor mentions prerequisites or typical scenarios. The only guidance is the default sink and a framebuffer tip, which are behavioral hints, not usage guidance.

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