Lunch Money MCP Server

Server Quality Checklist

Profile completionA complete profile improves this server's visibility in search results.

Latest release: v0.1.0
Disambiguation5/5
Every tool has a clearly distinct purpose targeting specific resources (e.g., assets, budgets, categories) and actions (create, get, update, delete), with no overlap or ambiguity. For example, bulkUpdateTransactions handles multiple transactions uniquely, while other tools manage individual entities.
Naming Consistency5/5
Tool names follow a consistent verb_noun pattern throughout, such as createAsset, getAssets, updateAsset, deleteAsset, with no deviations in style or convention. This predictability makes it easy for agents to understand and select the correct tool.
Tool Count3/5
With 26 tools, the count is borderline high for a personal finance server, potentially feeling heavy but still manageable. It covers a broad domain comprehensively, though it might be overwhelming compared to more focused servers with fewer tools.
Completeness5/5
The tool set provides complete CRUD/lifecycle coverage for all core entities (assets, budgets, categories, recurring items, tags, transactions, and user details), with no obvious gaps. Each resource has create, get, update, and delete operations, ensuring agents can handle full workflows without dead ends.
Average 2.9/5 across 26 of 26 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 2 of 2 community issues answered or closed in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is failing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states it updates properties without disclosing behavioral traits like permission requirements, whether updates are reversible, rate limits, or what happens to unspecified fields. 'Update' implies mutation, but details are missing, making it inadequate for a tool with 13 parameters.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action without waste. It's appropriately sized for a basic tool definition, though its brevity contributes to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given high complexity (13 parameters, 0% schema coverage, no annotations, no output schema), the description is incomplete. It doesn't explain parameter semantics, behavioral context, or return values, leaving the agent with insufficient information to use the tool effectively beyond its basic purpose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the schema provides no parameter details. The description adds no meaning beyond the tool name, failing to explain what parameters like 'id', 'amount', or 'status' do or their formats. For 13 undocumented parameters, this is a critical gap with no compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Update an existing transaction's properties' clearly states the action (update) and target (transaction), but it's vague about what properties can be updated and doesn't differentiate from sibling tools like 'updateBudget' or 'updateCategory' which follow the same pattern. It's better than a tautology but lacks specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'bulkUpdateTransactions' for multiple updates or 'createTransaction' for new entries. The description implies it's for existing transactions but doesn't specify prerequisites or exclusions, leaving the agent to infer usage from context alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
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 'Delete' but doesn't clarify if this is permanent, reversible, requires specific permissions, has side effects (e.g., cascading deletions), or provides confirmation. For a destructive operation with zero annotation coverage, this is a critical gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place by directly contributing to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's destructive nature, lack of annotations, no output schema, and incomplete parameter documentation, the description is inadequate. It doesn't address critical aspects like return values, error conditions, or behavioral nuances, leaving the agent with insufficient information to use the tool safely and effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 1 parameter with 0% description coverage, so the description must compensate. It mentions 'by ID', which adds meaning beyond the schema's generic 'id' property by implying it refers to a recurring item identifier. However, it doesn't explain the ID's format, source (e.g., from getRecurringItems), or constraints, leaving significant gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and resource ('recurring item by ID'), which is specific and unambiguous. It distinguishes itself from siblings like 'deleteAsset' or 'deleteTransaction' by specifying the resource type. However, it doesn't explicitly mention what a 'recurring item' is or how it differs from other deletable resources, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing recurring item ID), exclusions (e.g., not for non-recurring items), or comparisons with siblings like 'deleteTransaction' or 'updateRecurringItem'. The agent must infer usage from the name and context alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is an update operation (implying mutation) but doesn't cover permissions needed, whether changes are reversible, rate limits, error conditions, or what happens to unspecified properties. For a mutation tool with 8 parameters and no annotation coverage, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action. However, given the complexity (8 parameters, mutation operation), it may be too concise, as it omits necessary details that would help the agent use the tool correctly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with 8 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It doesn't explain parameter meanings, behavioral traits, or return values, making it inadequate for safe and effective tool invocation by an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so all 8 parameters are undocumented in the schema. The description only mentions 'balance and metadata' as examples, covering at most 2 parameters (balance and possibly name/institution_name as metadata). It doesn't explain the purpose of id (required), type_name vs type_name_override, balance_as_of, currency, or other fields, leaving significant gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Update') and resource ('an existing asset's properties'), specifying the scope ('including balance and metadata'). It distinguishes from createAsset (creating vs updating) but doesn't explicitly differentiate from other update tools like updateTransaction or updateBudget.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like bulkUpdateTransactions or other update operations. It doesn't mention prerequisites (e.g., asset must exist) or exclusions, leaving the agent to infer usage from the name and context alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Update' implies a mutation operation, the description doesn't address critical behavioral aspects: what permissions are required, whether the update is partial or complete, what validation occurs, how errors are handled, or what the response contains. For a mutation tool with 12 parameters and no annotation coverage, this represents a significant transparency gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise - a single sentence with no wasted words. It's front-loaded with the core action and target. However, this conciseness comes at the cost of completeness for a tool with significant complexity (12 parameters, mutation operation).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with 12 parameters, 0% schema description coverage, no annotations, and no output schema, the description is severely incomplete. It doesn't explain what constitutes a 'recurring item' in this context, what properties are updatable, what the update operation entails, or what the agent should expect as a result. The description fails to provide adequate context for safe and effective tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for all 12 parameters, the description provides no additional semantic information about any parameters. It mentions 'properties' generically but doesn't explain what specific properties can be updated, their purposes, or constraints. The description fails to compensate for the complete lack of parameter documentation in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Update') and target resource ('existing recurring item's properties'), which is specific and unambiguous. However, it doesn't differentiate this tool from sibling tools like 'updateTransaction' or 'updateAsset' - all appear to be update operations on different resource types, so the distinction is implicit rather than explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'updateTransaction' and 'updateRecurringItem' both available, there's no indication of when one should update a recurring item versus updating individual transactions. No prerequisites, exclusions, or alternative recommendations are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 'Create' but does not clarify if this is a write operation, what permissions are needed, whether it's idempotent, or what happens on failure. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
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, making it easy to parse quickly, which is ideal for conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a creation tool with 7 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameters, behavioral traits, and expected outcomes, making it inadequate for effective tool use by an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, meaning none of the 7 parameters are documented in the schema. The description does not add any meaning about parameters, such as explaining what 'type_name', 'balance', or other fields represent, failing to compensate for the lack of schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create') and the resource ('new manually-managed asset'), which is specific and unambiguous. However, it does not differentiate this tool from sibling tools like 'createBudget' or 'createCategory', which also create resources but for different entity types, so it misses full sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as required permissions or context, or compare it to sibling tools like 'updateAsset' or 'getAssets', leaving the agent without usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates this is a creation operation, implying mutation, but lacks details on permissions required, whether the budget is editable/deletable, error handling, or response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It front-loads the core purpose ('Create a new budget') and includes essential details without redundancy, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a creation tool with 5 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameter meanings, behavioral traits, and expected outcomes, making it insufficient for an agent to use the tool effectively without additional context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It mentions 'amount and date range', which partially covers 3 of the 5 parameters (amount, start_date, end_date), but omits 'category_id' and 'currency'. This leaves key parameters undocumented, failing to fully address the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create a new budget') and specifies the resource ('for a category') along with key attributes ('with amount and date range'). It distinguishes from siblings like 'updateBudget' or 'deleteBudget' by focusing on creation, though it doesn't explicitly contrast with other creation tools like 'createCategory' or 'createTransaction'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing category), exclusions, or comparisons to siblings like 'updateBudget' for modifications or 'getBudgets' for retrieval. The description only states what it does, not when it's appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Create' implies a write operation but lacks details on permissions, side effects, or response format. This is inadequate for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with 7 parameters, 0% schema coverage, no annotations, and no output schema, the description is insufficient. It doesn't cover behavioral aspects, parameter meanings, or usage context, leaving significant gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate but doesn't mention any parameters. It fails to explain the meaning of inputs like 'is_income' or 'category_group_id', leaving all 7 parameters undocumented beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Create') and resource ('spending or income category'), making the purpose evident. However, it doesn't differentiate from siblings like 'createBudget' or 'createTag' beyond the resource type, which is why it's not a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'createBudget' or 'createTransaction', nor does it mention prerequisites or exclusions. It's a basic statement without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states this creates items but doesn't mention authentication requirements, rate limits, whether the creation is idempotent, what happens on validation errors, or what the response looks like. For a mutation tool with 11 parameters, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a tool with a clear primary function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex mutation tool with 11 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain the tool's behavior, parameter meanings, return values, or how it differs from similar tools in the sibling set.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for 11 parameters, the description provides no information about any parameters. It doesn't explain what 'payee', 'amount', 'frequency', 'flow', or other fields mean, their formats, or constraints beyond what the basic schema types indicate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create') and resource ('new recurring expense or income item'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'createTransaction' or 'createBudget' beyond specifying 'recurring' items.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'createTransaction' or 'createBudget'. There's no mention of prerequisites, appropriate contexts, or exclusions for non-recurring items.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the basic action ('create a new transaction'). It doesn't disclose behavioral traits like required permissions, whether creation is idempotent, error handling, rate limits, or what happens on success/failure. For a mutation tool with 12 parameters, 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex mutation tool with 12 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain parameter meanings, behavioral expectations, or return values, leaving the agent with insufficient context to use the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate but adds no parameter information beyond implying 'transaction' has types. It doesn't explain what the 12 parameters mean, their relationships, or provide examples. The description fails to address the semantic gap left by the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('create') and resource ('transaction'), specifying the three types (expense, income, or transfer). It distinguishes from siblings like createAsset or createCategory by focusing on transactions, but doesn't explicitly differentiate from createRecurringItem which might also create transaction-like items.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like bulkUpdateTransactions or updateTransaction. The description doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a list operation with filtering, implying read-only behavior, but doesn't cover critical aspects like pagination (offset/limit usage), authentication needs, rate limits, or response format. For a 10-parameter tool with no annotation coverage, this leaves significant gaps in understanding how the tool behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('List transactions') and immediately specifies key capabilities. Every word earns its place with no redundancy or wasted text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (10 parameters, no annotations, no output schema), the description is incomplete. It covers the filtering purpose but misses behavioral context (pagination, auth, response), half the parameters, and output details. For a tool with rich input schema but zero structured documentation elsewhere, this leaves the agent under-informed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It lists filtering options (date range, category, tags, account, status) which covers 5 of the 10 parameters, but omits 'debit_as_negative', 'pending', 'offset', and 'limit'. The description adds some meaning for half the parameters but fails to address the other half, including pagination controls.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('transactions'), making the purpose evident. It specifies 'advanced filtering options' which distinguishes it from simpler list operations, though it doesn't explicitly differentiate from potential sibling list tools like 'getAssets' or 'getCategories' beyond the resource type.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions 'advanced filtering options' but provides no guidance on when to use this tool versus alternatives like 'getTransactions' without filtering or other sibling tools. It lacks explicit when/when-not instructions or named alternatives, leaving usage context implied at best.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a mutation operation ('Update') but lacks details on permissions, side effects, error handling, or response format. For a tool with 6 parameters and no output schema, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every element ('Update an existing budget's amount, category, or date range') directly 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.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (6 parameters, 0% schema coverage, no annotations, no output schema), the description is inadequate. It doesn't explain parameter semantics fully, lacks behavioral context for a mutation tool, and provides no output information, leaving critical gaps for the agent to operate correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It lists updatable fields ('amount, category, or date range'), which partially maps to parameters like 'amount', 'category_id', 'start_date', and 'end_date', but omits 'id' (required), 'currency', and details on data formats or constraints. This adds some meaning but doesn't fully address the undocumented parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Update') and resource ('an existing budget'), specifying the fields that can be modified ('amount, category, or date range'). It distinguishes from siblings like 'createBudget' by focusing on updates, though it doesn't explicitly differentiate from other update tools like 'updateAsset' or 'updateTransaction' beyond the resource type.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing budget ID), exclusions, or comparisons to siblings like 'bulkUpdateTransactions' or 'createBudget', leaving the agent to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 'Update' which implies a mutation, but doesn't cover critical aspects like required permissions, whether changes are reversible, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for the tool's complexity, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (9 parameters, mutation operation, no annotations, no output schema), the description is incomplete. It lacks details on parameters, behavioral traits, and usage context, making it insufficient for an agent to effectively select and invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, meaning none of the 9 parameters are documented in the schema. The description only mentions 'properties' generically without explaining any specific parameters (e.g., 'id', 'name', 'is_income'), failing to compensate for the coverage gap and leaving most semantics unclear.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Update') and resource ('an existing category's properties'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'updateBudget' or 'updateTransaction', which follow the same pattern for different resources, so it lacks sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing category ID), exclusions, or comparisons to siblings like 'createCategory' or 'deleteCategory', leaving the agent with no usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool updates a tag's name, implying a mutation operation, but doesn't disclose important traits like permission requirements, whether changes are reversible, potential side effects, or error conditions. The description is minimal and lacks behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with a single, direct sentence that states the core purpose without unnecessary words. It's front-loaded and wastes no space, making it efficient for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's mutation nature, lack of annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't address what happens after the update, potential constraints, or provide enough context for safe and effective use. The minimal description leaves significant gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions updating 'name' but doesn't explain the 'id' parameter or provide any semantic context for either parameter. The description adds minimal value beyond what's inferred from the schema structure alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Update') and resource ('an existing tag's name'), making the purpose immediately understandable. It distinguishes from sibling tools like 'createTag' and 'deleteTag' by specifying modification rather than creation or deletion. However, it doesn't explicitly mention what 'tag' refers to in this context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing tag ID), compare with similar tools like 'updateCategory', or indicate scenarios where this tool is appropriate versus when other tools might be better suited.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states this is an update operation but doesn't mention permission requirements, whether changes are reversible, rate limits, error handling, or what happens to unspecified fields. For a mutation tool affecting multiple transactions, this leaves significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. Every word contributes meaning without unnecessary elaboration, though it could be slightly more structured by separating purpose from parameter context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with 5 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain return values, error conditions, or important behavioral aspects like whether updates are atomic or partial failures occur. The description should do more given the complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It lists the fields that can be updated (category, tags, notes, status), which maps to 4 of the 5 parameters, but doesn't explain the 'transaction_ids' parameter or provide format details beyond what's implied. It adds some value but doesn't fully compensate for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('bulk update') and resource ('multiple transactions'), specifying it applies the same changes to all specified transactions. It distinguishes from sibling 'updateTransaction' by emphasizing bulk operations, though it doesn't explicitly name the sibling for comparison.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'updateTransaction' for single updates or other sibling tools. It mentions applying 'the same changes' but doesn't clarify prerequisites, constraints, or typical use cases beyond the basic operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. While 'Create a new tag' implies a write operation, it lacks details on permissions, whether the tag name must be unique, error handling, or what the response contains. This is a significant gap for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It is appropriately sized and front-loaded, clearly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity as a creation operation with no annotations, no output schema, and incomplete parameter documentation, the description is inadequate. It should explain more about the tag's role, potential conflicts, or return values to help the agent use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not mention the 'name' parameter at all, and with 0% schema description coverage, the parameter is undocumented in both the schema and description. However, since there is only one parameter, the baseline is 4, but the description fails to add any semantic value, such as explaining what the tag name represents or any constraints, resulting in a lower score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create a new tag') and the resource ('for categorizing transactions'), which is specific and unambiguous. However, it does not explicitly differentiate from sibling tools like 'updateTag' or 'deleteTag', which would require a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, such as 'updateTag' for modifying existing tags or 'getTags' for listing them. There is no mention of prerequisites, exclusions, or contextual usage, leaving the agent to infer based on tool names alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'Delete' implies a destructive mutation, it doesn't specify whether this operation is reversible, what permissions are required, whether it has side effects on related data, or what happens on success/failure. For a destructive operation with zero annotation coverage, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly concise at just 5 words. Every word earns its place: 'Delete' (action), 'a budget' (resource), 'by ID' (parameter reference). There's zero waste or redundancy. The structure is front-loaded with the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive mutation tool with no annotations, no output schema, and minimal parameter documentation, the description is inadequate. It doesn't address critical context like what the tool returns (success confirmation? error messages?), what happens to budget-associated data, or system behavior constraints. The agent lacks sufficient information to use this tool safely and effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description mentions 'by ID' which corresponds to the single 'id' parameter in the schema. However, with 0% schema description coverage, the description doesn't add meaningful semantics beyond what's obvious from the parameter name. It doesn't explain what format the ID should be (though schema indicates integer), where to find budget IDs, or what happens if an invalid ID is provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and target resource ('a budget by ID'), making the purpose immediately understandable. It distinguishes from sibling tools like 'deleteAsset' or 'deleteTransaction' by specifying the budget resource type. However, it doesn't specify whether this is a soft or hard delete, which would make it a perfect 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites (e.g., budget must exist), consequences (e.g., what happens to associated transactions), or when to choose other tools like 'updateBudget' instead. The agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. 'Delete' implies a destructive mutation, but the description doesn't specify whether deletion is permanent, reversible, requires specific permissions, or affects related data (e.g., transactions linked to the category). This leaves critical behavioral traits undocumented.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with zero wasted words. It's appropriately sized for a simple deletion tool and front-loads the essential action and target. Every word earns its place without being overly terse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's destructive nature, lack of annotations, and no output schema, the description is insufficiently complete. It doesn't address critical context like success/error responses, side effects, or safety considerations. For a mutation tool with zero structured coverage, more descriptive detail is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description mentions 'by ID', which aligns with the single 'id' parameter in the schema. However, schema description coverage is 0%, and the description doesn't add meaningful semantics beyond what's implied by the parameter name (e.g., what constitutes a valid category ID, format expectations, or error conditions). This meets the baseline for minimal parameter context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and target resource ('a category by ID'), making the purpose immediately understandable. It distinguishes from sibling tools like 'deleteAsset' or 'deleteBudget' by specifying the category resource type. However, it doesn't specify what 'delete' entails (permanent removal vs soft delete), which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., category must exist), consequences of deletion, or relationships with sibling tools like 'updateCategory' or 'getCategories'. The agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. 'Delete' implies a destructive mutation, but it doesn't specify if this requires authentication, has side effects (e.g., cascading deletions), rate limits, or error conditions. The description is minimal and lacks critical behavioral context for a destructive operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—a single, front-loaded sentence that directly states the tool's function without unnecessary words. Every word earns its place, making it efficient for quick comprehension, though this brevity may contribute to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a destructive delete operation), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't cover behavioral aspects like permissions, side effects, or return values, making it inadequate for safe and effective use by an AI agent in this context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 1 parameter with 0% description coverage, so the description must compensate. It adds meaning by specifying that the parameter is an 'ID' for a tag, which clarifies the 'id' field's purpose beyond the schema's numeric constraint. However, it doesn't explain the ID's format, source, or validation rules, leaving gaps in understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and target resource ('a tag'), with specificity about the identifier ('by ID'). It distinguishes from siblings like 'deleteAsset' or 'deleteBudget' by specifying the resource type. However, it doesn't explicitly mention what 'tag' refers to in this system's context, leaving some ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., tag must exist), consequences (e.g., what happens to associated data), or when not to use it. The presence of sibling tools like 'deleteTransaction' suggests a family of delete operations, but no differentiation is offered.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. 'Delete' implies a destructive mutation, but the description doesn't specify whether this is permanent/irreversible, requires specific permissions, has side effects (e.g., cascading deletions), or returns confirmation data. This is inadequate for a destructive operation with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (4 words) and front-loaded with the essential action and target. Every word earns its place with zero redundancy or unnecessary elaboration. This is optimal for a simple tool with minimal parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive mutation tool with no annotations and no output schema, the description is incomplete. It doesn't address critical context: what happens after deletion (confirmation message? error handling?), whether the operation is idempotent, or what permissions are required. The agent lacks sufficient information to use this tool safely and effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description adds minimal parameter context by specifying 'by ID'. However, it doesn't explain what 'ID' refers to (transaction identifier format/source) or provide examples. With only one parameter and the schema defining it as a positive integer, the description adds marginal value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and target resource ('a transaction by ID'), making the purpose immediately understandable. It distinguishes from sibling tools like 'deleteAsset' or 'deleteBudget' by specifying the transaction resource type. However, it doesn't explicitly mention what 'delete' entails (permanent removal vs soft delete).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., transaction must exist), when-not-to-use scenarios, or relationships with sibling tools like 'updateTransaction' or 'getTransactions'. The agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states 'Delete' which implies a destructive mutation, but lacks details on permissions, reversibility, side effects (e.g., cascading deletions), or error handling. This is a significant gap for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
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, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive tool with no annotations and no output schema, the description is incomplete. It lacks critical context such as behavioral traits (e.g., permanence, confirmation), expected outcomes, or error scenarios, leaving the agent with insufficient information for safe invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description specifies that deletion is 'by ID', which adds meaning beyond the schema's generic 'id' parameter (schema coverage is 0%). However, it doesn't clarify the ID format (e.g., integer as per schema) or scope (e.g., asset-specific). With 1 parameter and low schema coverage, this provides adequate but not comprehensive semantic context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and the resource ('an asset by ID'), making the purpose unambiguous. It distinguishes from siblings like 'getAssets' (read) and 'updateAsset' (modify), though it doesn't explicitly contrast with other delete operations (e.g., 'deleteBudget').
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., asset must exist), exclusions (e.g., cannot delete if in use), or comparisons to siblings like 'deleteTransaction' or 'updateAsset' for different operations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states this is a list operation but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, returns paginated results, or what happens if no budgets exist. The description adds minimal context beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action ('List all budgets') and adds only essential clarifying details ('with their category assignments and date ranges'). Every word earns its place with zero wasted text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a read operation with potential complexity (budgets with category assignments and date ranges), the description is incomplete. It doesn't explain what the return values look like, how results are structured, or any behavioral constraints. For a tool that likely returns structured data, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and the schema fully documents this absence. No additional parameter information is needed or provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List all budgets') and specifies the resource ('budgets') with additional details about what information is included ('with their category assignments and date ranges'). It distinguishes from siblings like 'getAssets' or 'getTransactions' by focusing on budgets, but doesn't explicitly differentiate from other budget-related tools like 'createBudget' or 'updateBudget' beyond the verb difference.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing considerations, or compare it to other budget-related tools like 'createBudget' or 'updateBudget'. The agent must infer usage from the verb 'List' alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 this is a 'Get' operation, implying read-only behavior, but doesn't clarify authentication requirements, rate limits, error conditions, or what 'current user' means in context. For a tool with zero annotation coverage, this leaves significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Get the current user's account details') and adds specific examples. There's no wasted verbiage, though it could be slightly more structured for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It explains what the tool returns but lacks details on authentication, error handling, or response format. Without annotations or output schema, more behavioral context would improve completeness for this read operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description adds no parameter information, which is appropriate here. Baseline is 4 for zero parameters, as no additional semantics are needed beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get the current user's account details' with specific examples of what details are included (email, name, currency preferences, and settings). It uses a specific verb ('Get') and resource ('current user's account details'), but doesn't explicitly differentiate from sibling tools, though most siblings handle different resources like transactions, assets, or budgets.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context for usage, or comparison with other tools. The agent must infer usage based on the purpose alone, which is insufficient for optimal tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states it's a list operation without details on permissions, rate limits, pagination, or return format. It mentions 'manually-managed' which adds some context, but overall behavioral traits are insufficiently disclosed for a tool with potential complexity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no wasted words, making it highly concise and front-loaded. It efficiently conveys the core purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and 0 parameters, the description is minimal but covers the basic action and resource. However, for a list operation that might return complex data, more context on output or behavior would improve completeness, keeping it at an adequate baseline.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is fine here, but it could have mentioned implicit filters like 'manually-managed' as a semantic constraint, slightly limiting the score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and resource ('manually-managed assets'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'getBudgets' or 'getTransactions' beyond the resource type, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'getAssets' (if it existed) or other retrieval tools. It lacks context about prerequisites, timing, or comparisons to sibling tools, leaving usage unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states it's a list operation, implying read-only behavior, but doesn't disclose any behavioral traits like pagination, sorting, rate limits, authentication needs, or what happens if no categories exist. For a tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any fluff. It's front-loaded with the core action ('List all categories') and adds necessary scope details. Every word earns its place, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally complete. It explains what the tool does but lacks details on behavior, output format, or usage context. For a basic list tool, this might be adequate, but it doesn't fully compensate for the absence of annotations or output schema, leaving gaps in understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics beyond what the schema provides. Baseline for 0 parameters is 4, as it appropriately avoids unnecessary detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('all categories'), and specifies the scope ('including category groups and parent categories'). It distinguishes from siblings like getAssets or getTransactions by focusing on categories. However, it doesn't explicitly contrast with getBudgets or other get* tools, keeping it at 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing, or comparisons to other tools like getCategories (if there were multiple category-related tools). With siblings including createCategory and updateCategory, some context on usage would be helpful but is absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. While 'List' implies a read operation, it doesn't disclose behavioral traits like whether this requires authentication, returns paginated results, includes metadata, or has rate limits. For a read tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized for a simple list operation and front-loads the essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, read operation) and lack of output schema, the description is minimally adequate but incomplete. It doesn't explain what the list includes (e.g., fields, format) or behavioral aspects, leaving gaps for the agent to navigate. However, for a zero-parameter list tool, it meets basic requirements.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters with 100% schema coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline high score since it doesn't need to compensate for any schema gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('all recurring expense and income items'), making the purpose unambiguous. It distinguishes this tool from siblings like getTransactions or getAssets by specifying 'recurring' items, though it doesn't explicitly contrast with createRecurringItem or updateRecurringItem.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing considerations, or differentiate from similar tools like getTransactions (which might include recurring items). Without usage context, the agent must infer when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits like whether this requires authentication, returns paginated results, includes metadata, or has rate limits. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource. Every word earns its place by conveying essential information without redundancy or unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema) and lack of annotations, the description is minimally adequate. It states what the tool does but doesn't provide enough context about the return format, authentication needs, or relationship to other tools. For a basic read operation, it's functional but could be more helpful with additional behavioral details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of inputs. The description doesn't need to add parameter information, and it correctly implies no filtering parameters by saying 'all transaction tags'. This meets the baseline of 4 for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('all transaction tags'), making the purpose immediately understandable. It distinguishes from siblings like 'createTag' and 'deleteTag' by specifying a read operation. However, it doesn't explicitly mention that this returns all tags without filtering, which would make it a perfect 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when you'd want to list tags (e.g., for selection in other operations) or differentiate from other 'get' tools like 'getTransactions' that might include tags. There's no context about prerequisites or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

Confirm that the MCP server is working as expected.
Confirm that there are no obvious security issues.
Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

Copy to your README.md:

[![lunch-money-mcp MCP server](https://glama.ai/mcp/servers/gilbitron/lunch-money-mcp/badges/card.svg)](https://glama.ai/mcp/servers/gilbitron/lunch-money-mcp)

Score Badge

Copy to your README.md:

[![lunch-money-mcp MCP server](https://glama.ai/mcp/servers/gilbitron/lunch-money-mcp/badges/score.svg)](https://glama.ai/mcp/servers/gilbitron/lunch-money-mcp)

Latest Blog Posts

Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)
By Om-Shree-0709 on July 25, 2026.
mcp
Agent Identity
OAuth 2.1
Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gilbitron/lunch-money-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server