Skip to main content
Glama

Display Reconstruct

display_reconstruct

Convert MIPI DCS command logs and framebuffer captures into display images. Configure panel profile, dimensions, and offsets to rebuild frames from logic analyzer data.

Instructions

Sugar: interpret MIPI DCS + command_log + framebuffer sinks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthNo
heightNo
out_dirNo
profileNost7789
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?

No annotations are provided, so the description must disclose behavior itself, but it only says 'interpret' without explaining side effects, safety, output format, or processing behavior. It gives a vague sense of reading/decoding data sources but does not tell the agent what will happen when the tool is invoked.

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 description is short, but it is cryptic rather than clear, and the leading 'Sugar:' token wastes the front-loaded position. A one-line description can be excellent, but this one sacrifices useful structure and meaning for brevity.

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 tool with 10 parameters, no parameter descriptions, and no annotations, this description is severely incomplete. The output schema exists, but the agent still lacks enough context to know what input data is expected, what the tool does, or how to choose parameters correctly.

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%, and the description adds no meaning for any of the 10 parameters. Parameters like width, height, profile, offsets, and max_commands are left entirely unexplained by both schema and description, so an agent cannot know how to set them.

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 names a verb ('interpret') and resources ('MIPI DCS + command_log + framebuffer sinks'), so it is not a pure tautology. However, the 'Sugar:' prefix is cryptic and the description never states that the tool reconstructs display frames or what output it produces, making it hard to separate from the sibling 'interpret'.

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?

There is no guidance about when to use this tool versus alternatives like 'interpret', 'display_analyze', or 'bus_decode'. The description only implies some kind of decoding/interpretation role, but no conditions, prerequisites, or exclusions are given.

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