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Seshat

Seshat

Official
by papyruslabs-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Get Entity Details

get_entity
Read-onlyIdempotent

Retrieve a function or class's signature, callers, callees, data flow, constraints, location, and database reads/writes to understand a symbol before modifying it.

Instructions

Get everything about one function or class — its signature, callers, callees, data flow, constraints, source location, and database operations (which tables it reads/writes). Use this when you need to deeply understand a single symbol before modifying it. Returns more than reading the source file because it includes the dependency context.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_entity"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesEntity ID or name
projectNoProject name (required in multi-project mode). Use list_projects to see available projects.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.20.2

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds valuable output context—signature, callers, callees, data flow, constraints, source location, and database read/write operations—but does not disclose pagination, size limits, or permission requirements.

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?

Two tight sentences, front-loaded with the core operation and followed by a clear use case and a differentiator against reading source. No wasted wording.

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?

For a read-only, 2-parameter tool with no output schema, the description plus schema and annotations give an agent enough to call it correctly: what it returns, when to use it, and that it is safe. Nothing critical is missing.

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 clear descriptions for both id and project. The description adds no parameter-level meaning 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.

Purpose4/5

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

States a specific verb and resource: getting everything about one function or class, and enumerates the returned facets. Very clear what the tool does, but it does not explicitly name or compare against sibling tools like query_entities or get_dependencies, so sibling differentiation is inferred from scope rather than stated.

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

Usage Guidelines4/5

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

Gives an explicit use case: when you need to deeply understand a single symbol before modifying it. Clear context for use, but no when-not conditions or alternative tool suggestions (e.g., when to prefer get_dependencies or get_data_flow).

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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