Remoote Remote Jobs MCP

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

No annotations provided, so description carries full burden. It mentions the required 'alerts:write' scope, but does not disclose idempotency, response behavior, or side effects. Minimal disclosure.

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?

Single sentence, concise and front-loaded. However, could add more value without losing conciseness, e.g., mentioning key parameters.

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?

Tool has multiple parameters including a nested criteria object with many fields, no output schema. Description insufficient to understand input structure or tool behavior.

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?

Schema coverage is 0%, yet description adds no parameter details beyond implying frequency. Four parameters exist (name, limit, criteria, frequency) with a complex criteria object, none explained.

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?

Description clearly states it creates a job alert, specifies 'daily or weekly' and 'for authenticated user'. Distinguishes from siblings which are about applying, getting jobs, salary stats, top jobs, or searching.

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?

No guidance on when to use this tool vs alternatives. Only mentions a required scope, but no comparison with siblings or conditions for use.

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

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

No annotations are provided, so the description must disclose all behavioral traits. It mentions the scope requirement and the fact that raw URLs are not returned, but it omits other important behaviors such as side effects (e.g., creating records), rate limits, authentication requirements beyond the scope, or error conditions. The description is insufficient for a mutation tool.

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 front-loads the core purpose and includes key constraints. There is no redundant or unnecessary text, making it appropriately sized and efficient.

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?

Given the low complexity (1 parameter, no output schema, no nested objects), the description provides a basic purpose and constraints. However, it lacks details about the 'user-confirmed' aspect, how the agent token is used, and the nature of the redirect. The information is adequate but not fully complete for an agent to use confidently.

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 input schema has one parameter, 'job_id', with type integer and exclusiveMinimum 0. The schema description coverage is 0%, meaning the description does not explain the parameter. The description adds no information about 'job_id' beyond what the schema already provides, failing to compensate for low coverage.

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 tool creates a 'user-confirmed Remoote apply redirect' for an authenticated agent token, specifying a specific action and resource. However, it does not differentiate from siblings; the siblings are distinct in function (e.g., search, get), so the purpose is clear but could be more specific about what 'Remoote apply redirect' entails.

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 mentions the required scope ('apply:intent') and a behavioral constraint ('never returns raw employer apply URLs'), which provides usage context. However, it does not explicitly state when to use this tool versus alternatives, nor does it exclude any scenarios. The guidelines are present but minimal.

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

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

No annotations are provided, so the description must fully disclose behavior. It indicates it is a read-only operation ('Fetch public details'), but does not mention rate limits, authentication requirements, error scenarios (e.g., job not found), or any side effects. Some behavioral context is present, but gaps remain.

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, well-structured sentence that is front-loaded with the core action and immediately lists key returned fields. No extraneous information.

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 one parameter and no output schema, the description covers the purpose and return fields adequately. Minor gaps include missing usage guidance and behavioral nuances like what happens if the job ID is invalid.

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 has one parameter (job_id) with no description coverage. The description only implies job_id identifies a job but adds no additional format details or constraints beyond the schema. This is adequate but does not simplify use for the agent.

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 ('Fetch'), the resource ('one active Remoote job'), and lists specific fields included (salary, location, skills, etc.). It distinguishes from sibling tools like search_jobs which return multiple jobs.

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 does not explicitly state when to use this tool versus alternatives (e.g., search_jobs for multiple jobs). It implies use when you have a specific job ID, but no direct guidance on when not to use or what prerequisites are needed.

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

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

No annotations provided, so the description carries the burden. It mentions the condition 'when enough normalized compensation data exists,' which is a useful behavioral note. However, it lacks details on authentication, rate limits, or response format.

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 concise at one sentence and front-loaded with the action. It could be expanded to cover key parameters or use cases without becoming verbose.

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?

No output schema, so the description should hint at return values (e.g., aggregated stats). It does not. With 10 parameters and no behavioral annotations, the description is insufficient for an agent to use the tool effectively.

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?

Schema description coverage is 0%, yet the description provides no param-level details. With 10 parameters, the description should clarify their roles beyond the schema (e.g., what 'query' means). The current description is inadequate.

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 it returns salary stats for active Remoote jobs with filters, distinguishing it from sibling tools like search_jobs and get_job which focus on individual job listings. However, it could specify what statistics are returned (e.g., median, range).

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?

No explicit guidance on when to use this tool versus alternatives. The description references 'supported filters' but does not elaborate on which filters are supported or provide context for selecting this tool over search_jobs or get_top_jobs.

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

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

No annotations provided, so description carries full burden. It mentions the list is 'public' and 'capped,' but does not disclose authentication needs, rate limits, or whether it is read-only. Minimal behavioral context beyond the basic function.

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?

Single sentence with no redundant words. Every word contributes to understanding the tool's function.

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 one parameter and no output schema, the description is somewhat complete. However, it lacks details about the returned job data structure, which is needed for an agent to know what to expect. Does not leverage output schema (missing) to compensate.

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?

Schema coverage is 0%, yet the description does not explain the `limit` parameter (its purpose, default, range). The word 'capped' hints at limiting but gives no concrete parameter semantics. This is a significant gap.

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 tool returns a 'capped public list of currently popular remote jobs.' This distinguishes it from sibling tools like search_jobs (search) and get_job (single job). The verb 'Return' and resource 'list of popular jobs' are specific.

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?

No guidance on when to use this tool versus alternatives like search_jobs or get_job. The description implies it's for discovering popular jobs, but does not explicitly state when it is preferred or when not to use it.

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

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

With no annotations, the description carries the burden and discloses that results are capped, public, with canonical URLs, and no raw employer apply URLs. However, it does not mention pagination, sorting, rate limits, or what 'capped' means exactly.

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?

Single sentence with no fluff, but it is so brief that it borders on under-specification. Could be considered minimally adequate but lacks structured details.

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?

Given 10 parameters and no output schema, the description lacks sufficient context for an agent to understand all filtering capabilities, sort order, or return structure. It only covers high-level behavior.

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?

Schema coverage is 0%, and the description adds no meaning to individual parameters. With 10 parameters including enums and filters, the agent has no explanation of how query, region, skills, etc. work.

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?

Description clearly states the verb 'Search', resource 'active Remoote remote jobs', and adds specific behavioral notes about capped public results, canonical URLs, and no raw employer apply URLs. This distinguishes it from sibling tools like get_job or get_top_jobs.

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?

No explicit guidance on when to use this tool vs alternatives such as create_alert or get_job. The description implies it for searching jobs, but does not state exclusions or comparison with siblings.

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