Skip to main content
Glama
harshitagarwal2

tradingrearchagents

get_run_view

Read-onlyIdempotent

Fetch the complete UI-ready projection of a research run by run ID, enabling inline harness rendering with all visualization data in a single call.

Instructions

Return the complete UI-ready run projection for inline harness rendering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which already establish this as a safe read operation. The description adds the behavioral context that the result is 'UI-ready' and a 'complete projection' versus raw data—useful nuance beyond the annotations. However, it doesn't describe response shape, pagination, or performance characteristics.

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?

One sentence, directly to the point, front-loaded with the core action. It qualifies as concise. It could arguably include more usage context, but for a single-sentence description it is efficient and clear.

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?

This is a simple read tool with one parameter, strong safety annotations (read-only, idempotent), and an output schema present. Given the low complexity, the description plus annotations and output schema provide adequate coverage. It could add return-value semantics, but the output schema presumably handles that.

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%, but the schema has only one self-explanatory parameter (run_id, required). The description doesn't elaborate on run_id's format or constraints, but with a single string parameter and a top-level output schema present, the baseline for a simple identifier parameter is reasonable. The description adds no extra meaning beyond what the schema conveys.

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?

The description 'Return the complete UI-ready run projection for inline harness rendering' clearly states a verb (return), a resource (run projection), and a specific purpose (inline harness rendering). It distinguishes itself from sibling tools like get_run, get_run_events, and get_run_result by emphasizing the 'UI-ready' and 'complete projection' angle, though it doesn't explicitly name alternatives.

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 implies this is for rendering a run in a harness UI context, and the 'UI-ready projection' phrasing suggests it returns a composable representation rather than raw data. However, it doesn't explicitly say when to use this vs get_run/get_run_result/get_run_events, nor does it state exclusionary conditions. Sibling differentiation is implied but not explicit.

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/harshitagarwal2/tradingrearchagents'

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