Skip to main content
Glama

trace_table

trace_table
Read-onlyIdempotent

Trace all schema elements, relationships, and code references for any table in your project, including columns, foreign keys, RLS policies, triggers, and application call sites.

Instructions

Trace a table end-to-end: columns, indexes, foreign keys, RLS, triggers (via getSchemaTableSnapshot), schema-scoped RPC → table edges (via listFunctionTableRefs), and app-code .from('$TABLE') call sites (FTS-retrieval + ast-grep proof). Snapshot-strict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNo
projectRefNo
tableYes
schemaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYes
resultYes
toolNameYes
_hintsYes
Behavior4/5

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

Annotations already declare readOnly and idempotent. Description adds 'Snapshot-strict' and reveals internal mechanisms (getSchemaTableSnapshot, listFunctionTableRefs, FTS, ast-grep), giving insight into its behavior beyond annotations.

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

Conciseness4/5

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

The description is concise (3 sentences) and front-loaded with the purpose. However, the first sentence is a dense list of components, which slightly reduces clarity.

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

Completeness3/5

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

Given complexity and presence of output schema, the description covers scope and internal methods but lacks prerequisites, error conditions, or output format details. Adequate but with gaps.

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 explain parameters. It does not mention projectId, projectRef, or schema, leaving their purpose unclear. Only 'table' is implied by the context.

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 the verb 'Trace' on resource 'table' and lists specific components (columns, indexes, foreign keys, RLS, triggers, RPC edges, app-code call sites). It clearly distinguishes from sibling tools like trace_edge, trace_rpc, etc., by focusing on a single table end-to-end.

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

Usage Guidelines3/5

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

The description explains what the tool does comprehensively but lacks explicit guidance on when to use it over siblings like 'table_neighborhood' or 'trace_edge'. No conditions or alternatives mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/drhalto/agentmako'

If you have feedback or need assistance with the MCP directory API, please join our Discord server