Skip to main content
Glama

get_run_output

Retrieve output data from Apify web scraping runs to access collected information from key-value stores.

Instructions

Get the OUTPUT record from a run's default key-value store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYesThe run ID
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read operation ('Get') but doesn't specify if it's safe, requires permissions, has rate limits, or what the output format looks like. For a tool with zero annotation coverage, this is a significant gap in transparency.

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?

The description is a single, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to understand quickly.

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

Completeness2/5

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

Given the tool's complexity (retrieving output from a key-value store), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what an 'OUTPUT record' entails, potential errors, or behavioral traits, leaving gaps for an AI agent to understand full usage.

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?

The schema description coverage is 100%, with the single parameter 'run_id' fully documented in the schema. The description adds no additional meaning or context beyond what the schema provides, such as format examples or usage tips. Baseline 3 is appropriate as the schema handles the parameter documentation adequately.

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 clearly states the action ('Get') and the resource ('OUTPUT record from a run's default key-value store'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_run' or 'get_key_value_store', which might retrieve different aspects of runs or key-value stores, so it doesn't reach the highest score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as 'get_run' or 'get_key_value_store', nor does it mention prerequisites or context for usage. It lacks explicit when/when-not instructions or named alternatives, leaving usage unclear.

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/fvegah/mcp-apify'

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