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halby24

RenderDoc MCP Server

by halby24

get_draw_calls

Retrieve a hierarchical list of all draw calls, dispatches, markers, and GPU actions from a RenderDoc capture. Filter by event ID, flags, or markers to analyze specific rendering events.

Instructions

Get the list of all draw calls and actions in the current capture.

Args: include_children: Include child actions in the hierarchy (default: True) marker_filter: Only include actions under markers containing this string (partial match) exclude_markers: Exclude actions under markers containing these strings (list of partial matches) event_id_min: Only include actions with event_id >= this value event_id_max: Only include actions with event_id <= this value only_actions: If True, exclude marker actions (PushMarker/PopMarker/SetMarker) flags_filter: Only include actions with these flags (list of flag names, e.g. ["Drawcall", "Dispatch"])

Returns a hierarchical tree of actions including markers, draw calls, dispatches, and other GPU events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_id_maxNo
event_id_minNo
flags_filterNo
only_actionsNo
marker_filterNo
exclude_markersNo
include_childrenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description must stand alone. It explains parameters and return type (hierarchical tree). However, it does not state that it is read-only, nor any performance implications or authorization needs. Adequate but not comprehensive.

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

Conciseness4/5

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

Starts with clear purpose, then parameter list in a structured docstring format, followed by return description. Slightly lengthy but each sentence adds value. Could be more concise without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters, no annotations, and presence of output schema, the description fully covers what the tool does, its filtering capabilities, and hierarchical return. No obvious gaps.

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

Parameters5/5

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

Schema coverage is 0%, yet description lists each parameter with its meaning, type, default, and behavior (e.g., partial match for marker_filter). Adds substantial value beyond the input schema.

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?

Describes exactly what the tool does: get list of draw calls and actions hierarchically. Clearly distinguishes from siblings like get_draw_call_details and find_draws_by_* which serve different purposes.

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 explicit guidance on when to use this vs alternatives. Does not mention that for details on a specific call one should use get_draw_call_details, or for resource-based filtering use sibling tools. Relies entirely on tool name and parameter names for context.

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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