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xmp4 — Semantic code knowledge for your stack

by ai.example4

xmp4_usages

Find all usages/references of a symbol in a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docsNoInclude docs: none (default) | summary | full (xmp4_info only)
pageNoPage number (1-based, default 1; ignored by xmp4_info/xmp4_source)
projectYesProject id: 'repo/project' or 'repo/project/language'. Case-insensitive prefix match. Append '/Python'|'/CSharp'|'/Java'|etc. only to disambiguate multi-language projects (e.g. 'django/Django/Python' vs 'django/Django/JavaScript'). 1 match → proceeds; N → warning lists candidates; 0 → do NOT iterate guesses, call xmp4_projects(query=...) once then retry.
file_pathNoFile path to disambiguate
page_sizeNoResults per page (default 20, max 100)
symbol_nameYesSymbol name
output_formatNoOutput format: Compact (default) or Verbose

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are present, and the description only states the basic action. It fails to disclose pagination behavior, output format (Compact vs Verbose), what 'docs' includes, or how the tool behaves when no references are found. This leaves critical behavioral traits undisclosed.

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, clear sentence that front-loads the action and subject. It is free of redundancy and wastes no words, making it appropriately concise.

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

Completeness2/5

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

Despite a rich schema, the description omits essential context for tool selection and invocation: it doesn't mention the relationship to sibling usage tools, the response structure, or important behaviors like pagination and output modes. With 7 parameters and no output schema, this sparse description is insufficient for a correct selection.

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 100%, with detailed parameter descriptions (project prefix matching, page defaults, output formats). The description adds no extra parameter semantics beyond what the schema already provides, so the 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 uses a specific verb 'Find' and clearly identifies the resource ('all usages/references of a symbol') and scope ('in a project'). This distinguishes it from sibling tools like xmp4_grep (text search) and xmp4_search (symbol search) by focusing on reference tracking.

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 is provided on when to use this tool versus alternatives such as xmp4_callees, xmp4_callers, xmp4_grep, or xmp4_search. The only conditional hint appears in the schema's project parameter (about calling xmp4_projects), not in the description, so the agent gets no help choosing among related tools.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct purpose: callers vs callees vs usages vs tests_for are directionally different, grep vs search separates text from symbol queries, and outline/view/source/info each serve unique functions. No two tools clearly overlap.

Naming Consistency5/5

All tools follow a uniform 'xmp4_<snake_case_noun>' pattern with no mixed conventions or camelCase. The names are terse, descriptive, and predictably formatted.

Tool Count4/5

At 16 tools, this is slightly above the typical well-scoped range (3–15), but the breadth is justified by the comprehensive code-knowledge domain. Every tool covers a distinct feature, so the count feels reasonable rather than bloated.

Completeness5/5

The surface is remarkably complete for semantic code analysis: project discovery (xmp4_projects), symbol lookup (xmp4_search, xmp4_symbol_at, xmp4_info), navigation (xmp4_outline, xmp4_view, xmp4_source), relationship exploration (callers, callees, hierarchy, usages, tests_for), and supporting meta tools (guide, server, deps, grep). No obvious gaps exist for its stated purpose.

Resources