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Glama
Abhinav-Sriharsha

ashby-jobs

remove_company

Remove a company from your tracked list to stop monitoring its Ashby job postings.

Instructions

Remove a company from the tracked company list.

Args: company: the company's slug, matched case-insensitively

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does add one useful behavioral detail: the company slug is matched case-insensitively. However, it does not disclose what happens if the company is not tracked, whether removal is reversible, or what the output or error behavior will be.

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 brief and front-loaded, with no filler. The core action appears first, and the parameter explanation is compact and directly useful.

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?

For a simple one-parameter removal tool, this is minimally adequate. The agent can identify the argument and matching behavior, but the description omits edge-case behavior like removing a non-existent company and any prerequisites for removal, leaving some ambiguity.

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?

The schema provides only the string type for 'company,' with 0% schema description coverage. The description compensates by explaining that company is the slug and is matched case-insensitively, adding meaningful semantics beyond the raw schema.

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 states a specific action and resource: 'Remove a company from the tracked company list.' This clearly identifies the tool's function and is distinct from siblings like list_companies or add_company, though it does not explicitly name an alternative.

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 about when to use this tool versus alternatives like add_company or list_companies. The usage context is only implied by the tool name and the phrase 'tracked company list,' with no exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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