HireMe MCP

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

The annotations already declare readOnlyHint=true, and the description is consistent with that: it provides a status and a booking link rather than claiming to create a booking. It adds some output context, but it does not clarify what happens when no slot is available or whether the booking link is simply handed to the user.

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 focused sentence, with the primary result front-loaded. It includes no filler or redundant restatement of the name.

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 tool without an output schema, the description supplies the core return values and purpose. It is mostly complete, though a slightly richer statement about what a slot contains or how the booking link should be used would make it fully self-sufficient.

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 has zero parameters, so the parameter-related burden is minimal. The input schema is fully covered, and the description does not need to explain parameter details that do not exist.

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 identifies the tool as returning current availability and a booking link, which distinguishes it from pricing, profile, and project-focused siblings. However, it lacks an explicit verb and the title's 'book' suggests more action than the description actually promises.

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 gives no explicit guidance about when to use this tool versus the sibling tools, nor does it mention prerequisites or exclusions. The usage context is only implied by the availability/booking vocabulary.

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?

The readOnlyHint annotation already covers the safe-read profile, and the description adds that this returns a list of fixed prices in USD with ETAs and excludes hourly billing. It does not describe response format or any additional behavioral details, but for a zero-parameter read-only tool the annotation plus description provide sufficient transparency.

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, tightly written sentence that states the core scope (fixed-price service list, USD, ETAs) and an important exclusion (no hourly billing). There is no filler or redundant 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 no-argument, read-only tool with no output schema, the description conveys the essential return value: a fixed-price service list in USD with ETAs. It also communicates a key business rule. The only minor gap is the lack of detail about which services are included, but that is not required to invoke the tool correctly.

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 is empty with zero parameters, so there is no parameter documentation burden on the description. Schema description coverage is 100% by default, and the baseline of 4 applies because no parameters need explanation.

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 identifies the resource as a fixed-price service list in USD with ETAs, which makes the tool's purpose evident. The verb is supplied by the title, and the content distinguishes it from profile, slot, and project siblings, 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.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'No hourly billing' provides a useful selection constraint, implying this tool is for fixed-price quoting rather than hourly-rate inquiries. However, it does not explicitly state when to prefer this tool over siblings or mention alternative tools, so usage guidance remains implied rather than explicit.

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 full burden. For a zero-parameter information retrieval tool, it transparently indicates the returned data (profile details) and recommends call order. No side effects are implied or expected, and none are hidden, so it is adequately transparent.

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, efficient sentence that front-loads the core purpose ('Who Djaouad Frih is') and then lists included details, with the usage hint 'Call this first' at the end. No wasted words.

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 tool's simplicity (no params, no output schema), the description fully covers what the agent needs: what the tool returns, the recommended call order, and enough detail to decide whether to invoke it. Nothing essential is missing.

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 has zero parameters, so the schema (empty) covers 100% of the parameter surface. The description adds useful output context, which aligns with the baseline of 4 for no-parameter tools.

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 states a specific verb ('get') and resource ('profile'), and explicitly lists the content (stack, products, availability, contact). It clearly differentiates from siblings like get_pricing and search_projects by focusing on the person's identity and background.

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 imperative 'Call this first' provides explicit sequencing guidance, and the listed contents imply when it is appropriate (when needing background on Djaouad). However, it does not explicitly state when not to use it or mention alternative tools for other needs, so it stops short of full-exclusion guidance.

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?

The readOnlyHint annotation already signals that this is a non-mutating operation. The description adds the scope constraint that only production/shipped projects are searched, which is useful. No other behavioral traits like result formatting or empty-search behavior are disclosed.

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, front-loaded sentence that conveys the action, the resource, and the goal with no filler or redundant wording.

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, read-only search tool with one documented parameter, the description covers the essential resource and intention. It does not describe return values or result behavior, but that is largely understood from the 'search' verb; no output schema also makes this less critical.

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 description coverage is 100% and already defines query semantics with 'What to look for'. This DI@ underscore, N. I am sorry. The description implicitly suggests valid queries via project names ('RAG', 'tool-calling'), which adds modest context but does not materially extend the schema.

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 uses a specific verb ('Search') and identifies the resource ('Djaouad's production projects') and purpose ('for proof of relevant experience'), making the tool's function clear. It does not explicitly contrast with sibling tools, but the project resource is distinct from slots, pricing, profile, and brief.

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 phrase 'for proof of relevant experience' reveals the intended use case (validating experience against shipped projects), but there is no explicit guidance about when to choose this tool over a sibling like get_profile or get_next_slot.

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?

Annotations are sparse: readOnlyHint=false (so mutation is expected), idempotentHint=false (so repeated calls may have different effects), and no destructive hint. The description adds key behavioral context: a fixed quote is returned within 24 hours, and it should be used after human confirmation, which prevents misuse. It does not detail side effects like whether submission creates a persistent record, but the description adds value beyond the annotations.

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?

Two sentences, front-loaded with the purpose, followed by the key outcome and usage condition. Every sentence earns its place; no fluff or repetition.

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 tool with 7 parameters, 3 required, and no output schema, the description provides essential context: the purpose, the response time, and the prerequisite. It does not explain the return value (since no output schema), but that is optional. Given annotations are minimal, this description is reasonably complete for an agent to invoke correctly.

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 100%, so all parameters are documented in the schema. The description does not add extra parameter-level meaning beyond what the schema provides, but it does clarify the overall purpose (e.g., 'contact' is 'Email or WhatsApp number to reply to', which is in the schema). Since coverage is high, a baseline of 3 is appropriate, and the description doesn't need to re-explain parameters.

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 ('File a project brief'), the subject ('on the client's behalf'), and the outcome ('Djaouad replies with a fixed quote within 24 hours'). It distinguishes itself from siblings by focusing on submitting a brief, not querying slots, pricing, profiles, or projects.

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 instruction 'Use after confirming scope with the human' provides clear context for when to invoke this tool, which is a strong usage guideline. However, it does not explicitly mention when not to use it or name alternatives, though siblings like get_pricing might be relevant for quotes—this is implied but not stated.

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