Skip to main content
Glama

get_unanswered_responses

Retrieve responses on a Medium post that you have not yet replied to, enabling you to draft and submit replies as part of a review workflow.

Instructions

Read-only. Return responses on a post where the authed user has NOT yet replied. Canonical worklist: read each, draft a reply in your context, then propose_reply -> confirm_reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYes
limitNo
Behavior4/5

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

With no annotations provided, the description carries full responsibility. It explicitly states 'Read-only', which is critical for safety. It also discloses the filtering logic (unanswered by authed user). No additional behavioral traits (e.g., pagination) are mentioned, but the core safety and filtering are well communicated.

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 consists of two short sentences. The first sentence is front-loaded with 'Read-only' and states the core purpose. The second provides workflow guidance. No wasted words; every sentence adds value.

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 the tool has 2 parameters and no output schema, the description covers purpose and workflow but omits parameter details and return format. While the core functionality is clear, the agent lacks information about what the response contains, which could lead to errors in downstream processing.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. However, it does not mention the two parameters (post_id, limit) or their semantics. The agent must infer meaning from names alone, which is insufficient for precise usage.

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 explicitly states 'Return responses on a post where the authed user has NOT yet replied', clearly identifying the verb (return), resource (responses on a post), and specific filtering condition. It distinguishes from siblings like 'list_responses' or 'get_response_replies' by the unique filter.

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?

The description provides a complete workflow: 'Canonical worklist: read each, draft a reply in your context, then propose_reply -> confirm_reply.' This explicitly tells the agent when and how to use the tool within a sequence, though it does not explicitly exclude alternative uses.

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/06ketan/medium-ops'

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