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

With no annotations, the description carries the full behavioral burden and mostly fails: it doesn't say whether the path must already exist, whether duplicate project names are rejected, whether any files are touched, or what the tool returns. The only behavioral signal is 'to track', implying read-only registration rather than project creation, which is useful but thin.

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 short sentence with the verb and scope front-loaded and zero filler. Its economy is appropriate, though it is arguably so brief that it leaves the gaps noted in other dimensions.

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 three-parameter mutation with no annotations and no output schema, the description is minimally adequate but omits outcome information an agent needs — what happens on success, duplicate handling, and whether the path is validated. A sentence on side effects and return would complete it.

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 name, path, and description are already documented in the schema. The description adds nothing about formats (e.g. absolute vs relative path) or the optional description field, so the baseline 3 applies.

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?

States a specific verb and resource ('Add a new Xcode project') plus a scoping purpose ('to track'), which clearly separates it from the read-oriented siblings like list_projects and get_project_status. It does not explicitly name any sibling, so it falls short of the top score.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. The 'to track' phrase hints that this registers a project rather than creating one, but the agent gets no instruction on when to call this versus update_project_status or what conditions must hold first.

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 carries the full burden, yet it discloses nothing about read-only behavior, permissions, aggregation unit, or return shape. It doesn't even state whether the heat map is scoped to all projects or a single one, which is a meaningful gap for a reporting tool with no safety hints.

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?

One short sentence with no filler, and the core resource is front-loaded. It is efficient, though its brevity comes at the cost of the missing scope 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?

With no annotations, no output schema, and a sibling set of overlapping analytics tools, the description should at minimum state scope and that it is a read-only aggregate report. Instead it leaves both unspecified, so an agent cannot confidently distinguish or invoke it 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 coverage is 100% and the single 'days' parameter is fully documented with its default, so the schema does the work. The description's phrase "recent days" only loosely echoes it and adds no format or range guidance, so this is the baseline case rather than an above-baseline one.

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 phrase "Show project activity heat map" names a concrete resource (activity heat map) and verb (show), so the agent knows the general output. However, it doesn't clarify scope — whether the heat map covers one project or all projects, or what 'activity' means (commits, events, tickets) — and gives no differentiation from the adjacent get_project_timeline or get_project_health tools.

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?

There is no statement of when to call this versus get_project_timeline, get_project_health, or get_technology_trends, all of which overlap in reporting project activity over time. No prerequisites or exclusions are given, so the agent must guess from the name alone.

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 carries the full burden of behavioral disclosure. It states the return content generally but does not say whether the operation is read-only, what permissions are needed, how scores are computed, how fresh the data is, or whether pagination applies.

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 front-loaded sentence with no wasted words. It efficiently communicates the action and the scope.

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?

The tool is simple (no parameters, no output schema), but the description only vaguely says 'health scores and recommendations' without explaining the return shape or per-project structure. With no annotations and no output schema, it should provide slightly more context for correct interpretation.

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 and an empty input schema, so there is no parameter semantics to explain. The baseline for a zero-parameter tool is 4, and the description does not need to compensate for missing schema detail.

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 and resource: 'Get health scores and recommendations for all projects.' It is clear what the tool returns, but it does not explicitly differentiate itself from close siblings like get_project_status, which also deals with project health/status.

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 when-to-use guidance, no exclusions, and no named alternatives. It only implies that the tool is used to retrieve health scores for all projects, without explaining when to choose it over list_projects or get_project_status.

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 carries the full burden. It implies a read but discloses nothing about what 'details' include, whether the lookup fails for unknown projects, or what permissions are needed — leaving the agent guessing about behavior.

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 with no wasted words. It is efficient but thin rather than padded.

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 one-parameter read tool this is minimally viable, but with no annotations and no output schema the description should say what status/details are returned and how failures behave. Those gaps leave it just adequate.

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?

With one parameter and 100% schema description coverage, the schema already documents projectName fully. The description adds no extra semantics such as accepted formats or lookup behavior, so baseline 3 applies.

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?

States a specific verb ('Get') and resource ('status and details of a specific project'), which is clearly distinct from siblings like list_projects and add_project. However, 'details' is undefined, and it does not distinguish itself from adjacent readers such as get_project_health or get_project_timeline.

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 versus get_project_health, get_project_timeline, or list_projects. The agent must infer the boundary from the name alone.

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; 'Get' signals a read-only operation and 'status timeline and duration' discloses the shape of the result. It says nothing about ordering, date ranges, how duration is computed, or whether the timeline is truncated, which are the details that matter for interpreting the output.

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?

One short, front-loaded sentence with no filler. It is efficiently written, though the brevity is closer to under-specification than to dense 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 one-parameter read tool, this is minimally adequate, but with no output schema the description should explain what a 'timeline' entry contains and how 'duration' is measured. Those omissions leave an agent unsure of what it will actually receive.

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?

There is a single required parameter with 100% schema description coverage, so the schema already documents projectName fully. The phrase 'for a project' merely restates that parameter and adds no format or lookup guidance (e.g., exact name vs. ID).

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 a specific verb ('Get') and resource ('status timeline and duration for a project'), and it even states what the response contains. However, it does not distinguish itself from the closely related sibling get_project_status, leaving the agent to guess which tool yields which view of project status.

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?

There is no guidance on when to use this tool versus get_project_status or get_project_health, and no mention of prerequisites or exclusions. The only implied context is that a project name is required.

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 carries the full disclosure burden. It implies a read-only analysis but says nothing about what data source is scanned, whether results are cached or costly, or what the analysis output contains.

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 with no filler. It is efficient, though also thin enough that it leaves obvious questions unanswered.

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?

With no output schema and no annotations, the description must describe return values, but it never says what an 'analysis' produces — counts, rankings, per-project breakdowns — nor how 'technology' is detected. For a zero-param tool this is the only source of that information, and it 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 takes zero parameters, so the baseline is 4. There is nothing the description needs to compensate for on the parameter side.

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?

States a specific verb ('Analyze') and resource ('technology usage') with an explicit scope ('across all projects'), which distinguishes it from project-scoped siblings like get_project_health and get_activity_heatmap. However, it never names a sibling or clarifies exactly what 'technology' means (languages, frameworks, dependencies).

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 'across all projects' implies this is the cross-project aggregation tool, giving an agent an implicit reason to pick it over per-project tools. There is no explicit when-to-use, when-not-to-use, or named alternative.

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 carry the full behavioral burden, but it does not state whether the list is paginated, sorted, filtered by tracking status, or what access is required. The phrase 'being tracked' hints at scope but leaves most operational behavior undisclosed.

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 compact sentence with the key action and resource front-loaded. There is no redundant or filler text.

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 list tool, the description is minimally adequate, but with no annotations or output schema it does not describe the returned project fields, ordering, or whether empty results are possible. It covers the core purpose but leaves some relevant context implicit.

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 parameter semantics are inherently complete. The description does not need to explain inputs beyond the empty 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?

Uses a specific verb (List) and resource (Xcode projects) with scope (being tracked). It clearly differs from mutation siblings like add_project and update_project_status, though it does not explicitly differentiate from read-oriented siblings such as get_project_status.

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?

Provides no explicit guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The intended use as a broad enumeration tool is only implied by the wording.

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 bears the full burden, yet it says nothing about what comes back (matches, files, line numbers), result limits, or whether 'across all projects' respects permissions. The pattern semantics (regex vs literal, case sensitivity) are also undisclosed.

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?

One short sentence with zero waste and no filler, though the brevity contributes to the specification gaps noted elsewhere.

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 search tool with no annotations and no output schema, the description should at least hint at return shape and pattern format. As written, an agent knows only that it searches projects, not how to phrase the pattern or what to expect back.

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 100% for the single parameter ('Code pattern or keyword to search for'), so the schema already establishes meaning. The description only adds the 'across all projects' scoping, and doesn't clarify pattern syntax or matching behavior.

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?

A specific verb+resource ('Search for code patterns') with scope ('across all projects'), which is more than the title alone conveys. It doesn't explicitly distinguish from any sibling, though the sibling list contains only project-management tools, so ambiguity risk is low.

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 when-to-use guidance, no exclusions, no alternatives. The description never says whether this is for finding definitions, usages, or whether it complements any of the listed project tools.

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 carries the full behavioral burden. It signals that this is a mutation tool, but it does not disclose permission requirements, reversibility, valid status values, side effects, or what happens to existing notes.

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 with no wasted words. It is front-loaded with the core action and resource.

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 mutation tool with no annotations and no output schema, the description is too thin. While the simple schema covers parameters, an agent still lacks context about status constraints, authorization needs, and the effect of updating notes.

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 the schema already documents projectName, status, and notes. The description adds no parameter meaning beyond the schema and does not clarify allowed status values or notes replacement behavior, making the baseline 3 appropriate.

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 and resource: updates a project's status or notes. It is clear enough to distinguish a mutation from sibling reads like get_project_status, but it does not explicitly name or differentiate itself from those alternatives.

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 implies when the tool is relevant by saying it updates status or notes, but it gives no explicit when-to-use guidance, no exclusions, and no comparison to siblings such as get_project_status or add_project.

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