Get hiring information
get_hire_infoServices Krish offers (voice agents, RAG assistants, multi-agent systems, AI pipelines), engagement options, FAQ and the booking link, as markdown.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_hire_infoServices Krish offers (voice agents, RAG assistants, multi-agent systems, AI pipelines), engagement options, FAQ and the booking link, as markdown.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description contributes beyond that by specifying the return format ('as markdown'), which is valuable given there is no output schema, though it says nothing about caching, auth, or whether the content is static.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with zero filler, front-loading the payload content (services, engagement options, FAQ, booking link) before the output format. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read-only content tool with no output schema, the description covers what is returned and in what format. The only missing piece is routing guidance versus the static-content siblings, which matters little for invocation correctness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. There is no parameter surface for the description to explain, and it correctly avoids inventing any input arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the concrete resource — Krish's service offerings, engagement options, FAQ, and booking link — which is far more specific than 'get hire info' alone. It is distinguishable from list_projects or get_post by content type, but it never explicitly contrasts itself with get_page, which could plausibly return the same static page.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer this is the tool for hiring/engagement questions, but there is no statement of when to call it, when not to, or which sibling to prefer for overlapping static content (get_page). No prerequisites or trigger conditions are given.
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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