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Ingest traces

ingest_traces

Ingest runtime call traces into the knowledge graph to improve code query accuracy. Supply caller-callee pairs with counts for a specific project to expand its code intelligence.

Instructions

Ingest runtime traces to enhance the knowledge graph

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracesYes
projectYes
Behavior2/5

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

The annotations provide no positive safety hints (readOnlyHint, idempotentHint, destructiveHint all false). The description tells us the tool modifies the knowledge graph but omits side effects, idempotency, whether existing traces are replaced or merged, or any required prior state. Since the description adds little beyond what the annotations already imply (a write operation), transparency is low.

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

Conciseness3/5

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

The description is a single sentence and not bloated, but it is under-specified. 'Ingest runtime traces to enhance the knowledge graph' is concise yet lacks the contextual substance needed for effective tool selection and invocation.

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?

Given the two-parameter input with nested objects and no output schema, the description is far from complete. It does not explain trace structure, project identification, expected effects, or how this tool relates to index_repository or trace_path. The absence of return-value details further reduces completeness.

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 does not mention the 'traces' or 'project' parameters at all. It offers no guidance on what format the trace objects should take or how the project parameter is used, leaving the agent to infer meaning solely from parameter names.

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

Purpose4/5

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

The description states a clear verb ('ingest'), resource ('runtime traces'), and intended effect ('enhance the knowledge graph'). It distinguishes the tool from pure read/search siblings like search_graph or query_graph, though it does not explicitly differentiate from the closely related index_repository, which also enhances the graph.

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 given on when to use this tool versus alternatives such as index_repository or trace_path. The phrase 'runtime traces' implies a use case, but there are no explicit when/when-not conditions, prerequisites, or links to sibling 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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