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reliai-in

io.github.loopg/pramana-mcp

by reliai-in

get_trace

Retrieve one recorded AI agent run by trace ID, including its steps, model and tool calls with arguments, and final outcome. Read-only inspection for debugging agent behavior.

Instructions

Get one recorded agent run: its steps, model calls, tool calls with arguments, and outcome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trace_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the shape of the returned data, but says nothing about permissions/auth, whether the operation is read-only, or behavior for missing traces. 'Get' implies a read, but that must be inferred.

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?

A single front-loaded sentence with zero filler: verb, resource, and the returned payload are stated in one pass. Nothing restates the name or wastes tokens.

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

Completeness4/5

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

With an output schema present, the description need not explain return values, though it does list them helpfully. For a one-parameter read tool this is nearly sufficient; the only gap is the absence of any error/edge-case or auth note.

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 0% and the single required parameter trace_id has no schema-level documentation, so the description must compensate. It implies trace_id identifies a recorded agent run but adds no format, source, or lookup guidance beyond that implication.

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 (Get) and resource (one recorded agent run) and enumerates the payload an agent receives: steps, model calls, tool calls with arguments, and outcome. It differentiates itself from the plural sibling list_traces only by the word 'one', so differentiation is implicit rather than explicit.

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?

Usage is only implied: 'one recorded agent run' combined with a required trace_id suggests this is the fetch-by-identifier counterpart to list_traces. There is no explicit when-to-use, when-not-to-use, or named alternative, and no note on what happens when the trace_id is unknown.

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