Skip to main content
Glama
EliyahuAI
by EliyahuAI

get_results

Read-only

Retrieve final validated results for a completed research job, including a markdown table with confidence indicators and a downloadable enriched Excel file.

Instructions

Fetch the final validated/enriched results for a completed job.

job_id: the session_id value — "job_id" and "session_id" are the same string.

Automatically downloads table_metadata.json and embeds it inline so no separate HTTP fetch is needed. Key fields in the response:

results.markdown_table — START HERE. Self-contained markdown document: full validated table (all rows, all values), confidence icons, viewer/download links, and a guide to navigating citations. Read this first. results.metadata.rows[] — per-row data keyed by row_key; each cell has value, confidence, comment (with citations). (legacy files may use full_value; both are equivalent) results.interactive_viewer_url — share with humans; renders sources + confidence. results.download_url — enriched Excel file for offline sharing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesSession ID / job ID of a completed validation job.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Adds value beyond annotations by revealing that table_metadata.json is automatically embedded, avoiding separate HTTP fetches. Also outlines key response fields. Annotations already indicate readOnlyHint=true, so the description complements without contradiction.

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?

Well-structured with a clear opening sentence, bullet points for key response fields, and a 'START HERE' emphasis. Every sentence is informative and earns its place; no fluff.

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 tool with one parameter, high schema coverage, and an output schema, the description is comprehensive: explains purpose, parameter usage, and response structure. Provides a mental map of the output without redundancy.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline is 3. Description adds clarifying detail that job_id and session_id are the same string, and implies job_id must be for a completed job, which goes beyond the schema's description.

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?

Description clearly states 'Fetch the final validated/enriched results for a completed job,' providing a specific verb, resource, and constraint. It distinguishes from sibling tools like get_job_status or get_preview_state by focusing on completed job results.

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?

Provides context that job_id equals session_id and emphasizes starting with results.markdown_table. However, it does not explicitly state when to use this tool versus alternatives (e.g., get_job_status, get_preview_state), lacking exclusions or when-not scenarios.

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/EliyahuAI/mcp-server-subindex'

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