Skip to main content
Glama
G-Hensley
by G-Hensley

Get Interviews

get_interviews

Retrieve interview tracking data including prep notes, questions asked, and outcomes. Filter by company or result to analyze interview performance.

Instructions

Get interview tracking data including prep notes, questions asked, and outcomes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyNoFilter by company name
outcomeNoFilter by interview outcome

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
Behavior3/5

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

No annotations exist, so the description carries full burden. It implies read-only behavior by stating 'Get' and lists returned data, but does not explicitly declare side effects, permissions, or rate limits. Adequate but not detailed.

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?

The description is a single, concise sentence with no redundancy. It is front-loaded and to the point, though could benefit from slight restructuring for clarity.

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?

With an output schema present, the description adequately covers the scope of returned data. However, lack of annotations and usage guidelines leaves gaps in completeness for a tool with no additional context.

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 coverage is 100% and both parameters ('company', 'outcome') have descriptions in the schema. The description adds no additional meaning about parameters beyond what the schema provides.

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 uses a specific verb ('Get') and resource ('interview tracking data'), and lists included elements ('prep notes, questions asked, and outcomes'). It clearly distinguishes from sibling tools like 'log_interview' (write operation) and other 'get_' tools targeting different resources.

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?

No guidance is provided on when to use this tool versus alternatives such as 'get_assessments' or 'get_goals'. There is no mention of context, prerequisites, or exclusions.

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/G-Hensley/myself-mcp-server'

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