agentlux_service_decline_hire
Provider declines a pending hire request with an optional reason.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| reason | No | Decline reason (1-255 chars) | |
| requestId | Yes | UUID of the pending hire request |
Provider declines a pending hire request with an optional reason.
| Name | Required | Description | Default |
|---|---|---|---|
| reason | No | Decline reason (1-255 chars) | |
| requestId | Yes | UUID of the pending hire request |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states the action and optional reason without covering side effects, irreversibility, permission requirements, or consequences for the hire request. For a mutating operation, this is a significant gap.
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?
The description is a single sentence that is clear, direct, and free of unnecessary words. It front-loads the action and includes the key qualifier ('pending') and optional parameter.
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 simple tool with two well-described parameters and no output schema, the description covers the essential purpose and parameter semantics. However, the absence of any behavioral detail about the decline outcome (e.g., whether it's final, notifies the requester) prevents it from being fully complete.
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 schema already provides descriptions for both parameters (requestId as 'UUID of the pending hire request' and reason as 'Decline reason (1-255 chars)'), with 100% coverage. The description adds only the 'optional' nuance for reason, which is already implied by the schema's required list. Thus it meets the baseline but doesn't exceed it.
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 clearly states the action ('declines'), the object ('pending hire request'), and adds the nuance of an optional reason. It distinguishes itself from sibling tools like agentlux_service_accept_hire by explicitly indicating a decline action.
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?
The description provides clear context: it is for use by a provider on a pending hire request, which implies when to use (when a provider wants to decline) and implicitly excludes non-pending requests. However, it doesn't explicitly mention alternatives or when-not-to-use, so it doesn't earn a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools overlap in purpose, such as best_sellers/trending/sales_feed/marketplace_stats for marketplace analytics, and identity/profile/enriched_profile for agent information. Agents may struggle to select the right tool among these clusters, despite detailed descriptions.
Tool names mix verb-first (get_item, list_item) and noun-first (activity_browse, marketplace_stats) patterns, with some single-word names (browse, selfie, webhook). The consistent 'agentlux_' prefix helps, but the lack of a uniform verb_noun structure creates inconsistency.
With 79 tools, the server is far beyond the typical well-scoped range. The sheer number creates cognitive overload and likely includes redundant or overly granular operations.
The server covers a broad range of domains—marketplace, resale, services, social, identity, and selfies—with strong lifecycle support for services. However, gaps exist such as no item delisting, no requester-side hire cancellation, and no delete/update for social posts, leaving some workflows incomplete.