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Jrains-ux

code-context-storage-mcp

by Jrains-ux

get_nodes

Fetch stored code context nodes by their IDs for a given repository and commit, enabling retrieval of code facts, call graphs, and semantic information.

Instructions

get nodes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idsYes
file_pathNo
request_idNo
snapshot_idNo
tool_versionNo
repository_idYes
target_commitYes
schema_versionNo
Behavior1/5

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

With no annotations and no descriptive content, behavioral traits are completely undisclosed. The agent cannot infer side effects, read/write nature, permissions, or return behavior from the description.

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 this is gross under-specification rather than conciseness. A single fragment fails to convey any operational detail and does not earn its place.

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?

Given the tool has 8 parameters, no output schema, and no annotations, this description is completely inadequate for an agent to select and invoke the tool correctly. All meaningful context is missing.

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% for 8 parameters, and the description adds no meaning beyond parameter names. With required parameters like repository_id, target_commit, and node_ids, the agent gets no help on formats, relationships, or defaults.

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

Purpose1/5

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

The description 'get nodes' is a near-verbatim restatement of the tool name, providing no verb+resource specificity. It does not distinguish this tool from siblings like node_batch_get or get_edges, and gives no hint of what nodes are being retrieved or under what conditions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description offers no context, prerequisites, or exclusions, leaving the agent entirely without direction.

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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