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Jrains-ux

code-context-storage-mcp

by Jrains-ux

dict_read

Retrieve stored code context facts and mappings from a versioned SQLite knowledge base by specifying repository, commit, and optional entity IDs.

Instructions

dict read

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scope_idNo
domain_idNo
concept_idNo
context_idNo
mapping_idNo
request_idNo
entity_typeNo
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?

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It discloses nothing—no read-only hints, no effects, no side behaviors, no error conditions. A complete absence of behavioral transparency.

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 extremely short, which is superficially concise, but it is under-specified to the point of uselessness. This is not conciseness; it is a failure to include necessary information.

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 tool with 12 parameters, 2 required, and no output schema, the description is completely inadequate. An agent has no way to understand how to construct a valid request or what to expect in response. This is severely incomplete.

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?

With 0% schema description coverage, the description must compensate by explaining parameters, but it does not mention any of the 12 parameters. No meaning is added beyond the schema, and the schema itself is largely opaque with generic names like 'scope_id' and 'context_id'.

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 'dict read' is a tautology that merely restates the tool name. It fails to state what the tool does, what resource it operates on, or how it differs from any sibling tool. An agent cannot determine the tool's purpose from this text.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions. The description offers zero strategic information.

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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