ebill-mcp

by sapn95

Overview Schema Related Servers Score Discussions

JavaScript

Local

Server Quality Checklist

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

Latest release: v0.1.0
Disambiguation5/5
Each tool has a distinct purpose: session status, login window, settings, bill listing, single bill retrieval, biller listing, single download, and bulk download. There is no overlap or ambiguity between them.
Naming Consistency3/5
All tools share the 'ebill_' prefix, but naming conventions are mixed. Some verbs (open), some nouns (status, settings, billers), and some verb+noun (list_bills, get_bill, download_bill). This is readable but not strictly consistent.
Tool Count5/5
8 tools is a well-scoped set for an e-bill retrieval and download service, comfortably within the ideal 3-15 range. Each tool serves a clear, necessary function.
Completeness4/5
The surface covers session management, configuration, bill listing, retrieval, and downloads (single and all). Minor gaps like a logout or payment operation could be argued, but they are not core to the stated purpose, so the workflow is largely complete.
Average 3.8/5 across 8 of 8 tools scored. Lowest: 3.2/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 15 commits in the last 12 weeks
- Last stable release on August 2, 2026
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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, the description carries the full burden. It mentions a 'logged-in eBill window' implying an existing session, but doesn't disclose side effects, what 'reachable' means, error conditions, or whether the result includes additional data. The terseness limits 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 concise sentence that front-loads the core function. It has no filler words, and each element (reachability, session time left) is relevant and contributes to understanding.
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?
For a zero-parameter status tool, the description covers the primary output concept (reachability and remaining session time). However, it lacks context about what 'reachable' means, the expected return format, and any system prerequisites. It's minimally adequate but leaves some gaps.
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 zero parameters, so there are no parameter semantics to explain. Baseline of 4 applies due to the zero-parameter case, and the description doesn't need to add parameter details.
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 assesses 'whether a logged-in eBill window is reachable, and how long the session has left.' This identifies a status-checking function distinct from siblings like ebill_open or ebill_get_bill. Although it lacks an explicit verb, the implication of 'whether' conveys a checking/reporting operation.
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 given on when to use this tool compared to siblings such as ebill_open or ebill_list_bills. It doesn't mention prerequisites, ideal contexts, or any exclusions, leaving the agent without direction on when it 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?
No annotations are provided, so the description carries the full burden. It only states what the tool returns and does not disclose whether the operation is read-only, the response format, or any pagination/filtering behavior. For a minimal read-only tool this is a notable 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 concise phrase, front-loaded with the key noun 'Billers.' It contains no extraneous words and is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (no parameters, no output schema, no annotations), the description sufficiently conveys the core purpose. It does not detail return format, but for a straightforward query tool this is acceptable and not a significant gap.
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 and an empty input schema, so there is no parameter semantics to explain. The baseline for zero parameters is 4, and the description does not need to add anything further.
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 identifies the resource (billers) and a clear selection criterion (ever sent something to this account). It lacks an explicit verb like 'list' or 'retrieve,' but the meaning is unambiguous and it distinguishes itself from siblings like ebill_list_bills, which are about bills rather than billers.
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 gives no guidance on when to use this tool versus alternatives like ebill_status or ebill_list_bills. There are no mentions of prerequisites, intended use cases, or exclusions.
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?
There are no annotations provided, so the description carries the full burden. It discloses the return fields but says nothing about side effects, errors, authentication, or behavior when the ID is not found. Even for a read operation, this is minimal and lacks safety/error 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 a single, front-loaded sentence of 18 words. It states the primary function immediately and includes no fluff or redundant 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?
For a simple get-by-id tool with one parameter and no output schema, the description is reasonably complete: it specifies the input and the key fields in the response. However, it omits details like not-found behavior, any required permissions, and how to access the associated document (likely via ebill_download_bill), so it is not fully comprehensive.
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 one parameter (bill_id) with no description (coverage 0%). The tool description clarifies that this ID identifies the bill to fetch, adding some meaning beyond the raw property name. However, it does not specify format, constraints, or any additional context about the ID.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it retrieves a single bill by ID, using an implicit 'get' verb and naming the resource ('bill'). It mentions the specific fields returned (biller, amount, due date, document presence), which distinguishes it from siblings like ebill_list_bills (multiple bills) and ebill_download_bill (document retrieval).
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 explicit guidance on when to use this tool versus alternatives. It does not mention ebill_list_bills for multiple bills or ebill_download_bill for documents, leaving usage purely implied by the phrase 'One bill by id'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosing behavior. It clearly states the primary action (downloading a PDF to a path), but does not mention file overwrite behavior, whether directories are created, or any side effects. This is adequate for a simple operation but lacks deeper 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 a single, focused sentence with no unnecessary words. It front-loads the core action and destination, making it immediately scannable and easy to understand.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter download tool, the description is largely complete. It lacks context about what happens after the download (e.g., return value) and does not mention edge cases like overwriting, but given the lack of an output schema and the simplicity of the operation, it covers most essentials.
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 coverage is 50%: output_path has a description ('absolute path to write to'), while bill_id has none. The description reinforces the output_path purpose but adds no detail about bill_id format or identifier semantics. It provides minimal added meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Download one bill PDF to an absolute output_path' uses a specific verb and resource, stating exactly what the tool does. It distinguishes from siblings like 'ebill_download_all' by emphasizing 'one' bill and from 'ebill_get_bill' by indicating a PDF file download to a path.
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 'ebill_get_bill' for viewing or 'ebill_download_all' for bulk downloads. There is no explicit mention of exclusions or preferred use cases, leaving the agent to infer 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.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and discloses key behaviors: filters to bills with documents, uses an output directory, names files deterministically, and skips existing files without overwriting.
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?
Two concise sentences that front-load the main action and include relevant details (naming, skip behavior) without any filler or repetition.
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?
The description covers the core behavior but lacks details on return values and does not clarify what the 'status' parameter controls, leaving some ambiguity for an AI agent.
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 clarifies the output_dir usage and adds the naming convention, but it does not explain the 'status' parameter (open/done/all). With 50% schema coverage, it only partially compensates for the missing parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Download every bill that has a document into output_dir' with a specific naming convention ('<delivered>_<id>.pdf'), distinguishing it from sibling tools like ebill_download_bill that target a single bill.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies bulk usage ('every bill') but does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that results are from the archive, sorted newest first, and that the default includes all statuses. While it does not mention side effects or error conditions, 'list' makes the read-only nature evident, and the stated behavior adds useful 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 a single, front-loaded sentence with no fluff. It communicates the core purpose, ordering, and status default efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with two optional parameters and no output schema, the description provides sufficient context: archive scope, ordering, and default status coverage. It could be more complete by mentioning what fields are returned, but that is not essential for basic selection.
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 100%, so the baseline is 3. The tool description's 'Both open and settled unless you narrow it' reinforces the status parameter's semantics, but it adds little beyond what the schema already says about limit and status defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource ('List bills from the archive'), states the ordering ('newest first'), and clarifies the status default ('Both open and settled unless you narrow it'). This clearly distinguishes it from siblings like ebill_open or ebill_get_bill by specifying it covers the full archive listing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives implicit usage guidance by stating the default behavior covers both open and settled bills, suggesting this is the general-purpose archive listing tool. It does not explicitly name alternatives or exclusions, but the context is clear enough for basic selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description explicitly states 'Side-effect free', which is a valuable behavioral promise given no annotations are provided. It also discloses the specific items reported (portal origin, CDP endpoint, profile path). It does not discuss permissions, error behavior, or response structure, but for a simple read-only tool, this is reasonable 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, front-loaded sentence with no unnecessary words. It states the action ('Report'), the object ('configuration in force'), and the key detail ('Side-effect free'). This is ideal for quick consumption by an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters, no output schema, and no annotations, the description carries the full burden. It lists the three components of the configuration it reports, which conveys what the response will contain. The lack of explicit return format is a minor gap, but the tool is simple enough that this is adequate. A higher score would require mention of response structure or error conditions.
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, so the description has no need to explain them. The baseline for no-parameter tools is 4, and the description adds value by listing the content of the report, which indirectly clarifies what the tool does with its (nonexistent) inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Report' and names the resource 'configuration in force', with concrete examples (portal origin, CDP endpoint, profile path). This clearly distinguishes it from siblings like ebill_status or ebill_list_bills, which deal with bill operations rather than configuration.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage context is implied by the tool name and description: it's for reporting configuration settings. However, there is no explicit 'when to use' or comparison to alternatives, nor any exclusions. The description does not mention sibling tools, so guidance is only inferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Despite no annotations, the description discloses key traits: window is visible (not headless), user must log in manually, the tool returns when the window is reachable (not after login), and the window persists for later calls. This covers side effects and timing well.
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?
Two concise sentences, front-loaded with the action and purpose. No redundant words, every clause adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-action tool with no output schema, the description explains purpose, user involvement, return timing, and persistence. It is sufficient for an agent to select and invoke 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 only parameter (url) is fully described in the schema with its default. The description adds nothing beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool opens a visible browser window at the e-banking URL for manual login. This distinguishes it from sibling bill-related tools, which perform data operations rather than user interaction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use before other tools that require an authenticated session via 'it stays open for later calls.' It does not explicitly name alternatives or exclusions, but the context is clear that this is for initiating login.
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:

[![ebill-mcp MCP server](https://glama.ai/mcp/servers/sapn95/ebill-mcp/badges/card.svg)](https://glama.ai/mcp/servers/sapn95/ebill-mcp)

Score Badge

Copy to your README.md:

[![ebill-mcp MCP server](https://glama.ai/mcp/servers/sapn95/ebill-mcp/badges/score.svg)](https://glama.ai/mcp/servers/sapn95/ebill-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/sapn95/ebill-mcp'

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